The above world map describes the unequal distribution of total inventory globally across the industries of Energy, Healthcare, Information Technology, and Real Estate. Countries are highlighted in color according to their inventory levels.
-China is observed to have the highest total inventory among all other countries, as it is highlighted in red on the map.
-Kazakhstan is noted as having the lowest total inventory

The bar chart illustrates the top 10 countries by total inventory across the industries of Energy, Healthcare, Information Technology, and Real Estate.
-China is ranked 1st with a total of $1.96 trillion USD.
-The United States is ranked 2nd with a total of $0.48 trillion USD.
-Japan is ranked 3rd with a total of $0.21 trillion USD.

The above map of the United States shows the distribution of total inventory across the industries of Energy, Healthcare, Information Technology, and Real Estate in different states.
-California and Texas have the highest total inventory among all states, collectively accounting for 49.80% of the total inventory in the United States, Highlighted red in Map.
-Arkansas has the lowest total inventory among all states.

The above map of China illustrates the distribution of total inventory across the industries of Energy, Healthcare, Information Technology, and Real Estate in different regions.
-Guangdong, highlighted in red, is observed to have the highest level of inventory, while Macau is noted as having the lowest total inventory.

The above table compares the industries of Energy, Healthcare, Information Technology, and Real Estate between the United States and China. The table examines the ratio of Inventory to Total Assets. This ratio measures the proportion of a company's total assets that is held in inventory, indicating how efficiently a company utilizes its assets for inventory management.

-Observation: The comparison of inventory to total assets ratios shows some clear differences between the U.S. and China. In the Energy sector, the U.S. has a slightly higher ratio of 0.03, while China is at 0.02. Both countries have the same ratio of 0.07 in Healthcare, showing they manage inventory similarly. In Information Technology, the U.S. does better, with a ratio of 0.10 compared to China's 0.09. However, in Real Estate, China has a much higher ratio of 0.30, compared to just 0.01 in the U.S., which is a disaster.

The above table compares the industries of Energy, Healthcare, Information Technology, and Real Estate between the United States and China. Inventory days represent the average number of days a company takes to sell its entire inventory. This metric helps assess inventory management efficiency, with lower values indicating faster turnover and effective sales strategies, while higher values suggest overstocking or slower sales. 
When looking at how long it takes for companies in the U.S. and China to sell their inventory, we see some interesting differences.

-Observation: In the Energy sector, U.S. companies are slightly faster at 22.26 days, compared to 23.44 days for China. In Healthcare, U.S. companies take a lot longer at 170.90 days, while China takes 152.56 days, which could mean U.S. firms are overstocking. The Information Technology sector is quite similar, with the U.S. at 97.88 days and China just a bit faster at 97.26 days. The biggest difference is in Real Estate, where U.S. companies sell their inventory in just 39.81 days, but it takes Chinese firms an extremely long 931.94 days, indicating major issues with inventory management in China.

The line graph depicts the median inventory days for the Energy, Healthcare, Information Technology, and Real Estate industries in the United States from 2017 to 2023. 
-The Energy sector shows relatively stable inventory management, fluctuating between 22.55 days in 2017 and 22.62 days in 2023.
-The Healthcare industry experienced a significant increase in inventory days, rising from 26.88 days in 2017 to 39.81 days in 2023, indicating growing challenges in managing inventory effectively. 
-The IT sector remained stable overall, with inventory days ranging from 82.64 days in 2017 to 97.88 days in 2023, suggesting consistent inventory management practices.
-The Real Estate industry saw a dramatic rise in median inventory days from 125.77 days in 2017 to 170.89 days in 2023, reflecting potential overstocking or slower sales. 
This chart highlights the differing inventory management efficiencies across these industries, with the Energy and IT sectors maintaining stability while Healthcare and Real Estate face increasing challenges

The line graph showing median inventory days for the Energy, Healthcare, Information Technology, and Real Estate industries in China from 2017 to 2023 highlights important trends in inventory management. 
-The Energy sector improved significantly, decreasing from 27 days in 2017 to 21.37 days in 2022, though it rose slightly to 23.44 days in 2023.
-The Healthcare industry, inventory days increased steadily from 83.56 days in 2017 to 104.81 days in 2021, before dropping to 97.26 days in 2023, suggesting challenges in managing stock.
-The Information Technology sector remained mostly stable, with inventory days fluctuating between 138 and 147 days.
-The Real Estate industry showed concerning figures, starting at 1,046.98 days in 2017 and peaking at 1,300.78 days in 2018, with a slight decrease to 931.93 days in 2023, indicating ongoing problems with excess inventory and slow sales. 
Overall, these trends show different levels of efficiency and challenges in managing inventory across these industries in China

The graph depicts a comparison of the four industries (Energy, Healthcare, Information Technology, and Real Estate) in the United States.
Key Observations:
-Real Estate stands out with a perfectly predictable relationship between inventory turnover and inventory days (R Square of 1), where each increase in turnover reduces inventory days by 3.37 days, showing a consistent inverse relationship. 
-Energy also shows a negative relationship, with a moderate (R Square of 0.55), indicating that turnover moderately explains variations in inventory days, reducing by 1.18 days with each turnover increase.
-Healthcare and IT both have weaker relationships with R Square of 0.23 and R Square of 0.16, respectively), suggesting high variability and other influencing factors in these sectors.
-Healthcare’s steep slope highlighted in blue indicates a large decrease in inventory days per turnover increase, but this relationship is unpredictable. IT’s gentle slope, highlighted in red, implies the minimal impact of turnover on inventory days, aligning with its low predictability

The line chart illustrates the relationship between inventory turnover and net income across four different industries: Energy, Healthcare, IT, and Real Estate in the United States. Each industry's trend line is represented by a linear equation, where the negative slope indicates that an increase in inventory turnover is associated with a decrease in net income. Key Observations:
-The Energy industry shows the steepest decline in net income with a slope of -100.45, suggesting that higher inventory turnover negatively impacts its profitability the most, but with a low R-squared value of 0.03, indicating a weak correlation.
-The IT industry follows with a slope of -77.89 and also has a low R-squared value of 0.02, suggesting a similarly weak relationship.
-Healthcare shows a less steep decline at -40.71, maintaining an R-squared value of 0.02, which also indicates a weak correlation. 
-The Real Estate industry demonstrates a unique pattern with a slope of -72.91 and an R-squared value of 1, indicating a perfect fit and strong negative relationship between inventory turnover and net income, suggesting that this industry is heavily impacted by inventory management practices.
Overall, while all industries experience a decline in net income with increasing inventory turnover, Real Estate's strong correlation contrasts with the weak relationships seen in the other sectors.

The line chart illustrates the relationship between inventory turnover and total revenue across four different industries: Energy, Healthcare, IT, and Real Estate in Unites States. 
-In the Energy sector, the negative slope of -844.32 suggests that increasing inventory turnover is associated with a decrease in total revenue, but with a low R-squared value of 0.02, this relationship is weak and not well-explained by the model.
-The Healthcare industry shows a positive slope of 1163.41, indicating that higher inventory turnover correlates with an increase in total revenue, though the low R-squared of 0.03 suggests that this relationship is also not strong.
-The IT industry has a minimal positive slope of 254.57 and an R-squared of 0.01, indicating a negligible relationship. 
-The Real Estate sector depicts a strong positive slope of 6913.48 with an R-squared value of 1, indicating a perfect correlation; as inventory turnover increases, total revenue significantly increases as well. 
This analysis reveals that while the Energy, Healthcare, and IT sectors have weak correlations, the Real Estate sector demonstrates a robust relationship, highlighting its unique position in the dynamics of inventory management and profitability.

The line chart represents the relationship between market capitalization and net income across four different industries: Energy, Healthcare, IT, and Real Estate in United States. Each industry is represented by a linear equation, where the slope indicates the rate of increase in net income with respect to market capitalization, and the R-squared value reflects the strength of the relationship. 
-The Energy sector shows the highest slope (0.09) and a robust R-squared value of 0.92, suggesting a strong and positive correlation between market capitalization and net income.
-The Healthcare and IT have lower slopes of 0.03 but better R-squared values of 0.66 and 0.87, respectively, indicating moderate correlations. 
-Real Estate has the lowest slope (0.02) and R-squared (0.62), suggesting a weaker relationship between the two variables. 
Overall, while all four industries illustrate a positive relationship, Energy stands out as the most responsive to changes in market capitalization, followed by IT, Healthcare, and lastly Real Estate

The line chart represents the relationship between market capitalization and total cash flow from operating activities across four different industries: Energy, Healthcare, IT, and Real Estate in United States. 
-Energy has a steady, strong connection, meaning as market capitalization increases, cash flow does too, with 97% of changes explained by this relationship.
-Healthcare has a noticeable rise in cash flow with market capitalization, but only 69% of its changes can be explained this way. 
-The IT sector shows the strongest increase in cash flow relative to market capitalization, with 84% of the variation explained, making it very sensitive to market changes. 
-Real Estate also has a good relationship, with 81% of the changes explained, but it's not as strong as IT.
Overall, IT and Energy show the best links between market size and cash flow, with IT having the most significant increase.

The chart highlights the top 20 real estate companies of United States based on inventory days, a measure of how quickly they turn over their inventory. The company in the top position, Alset Inc., stands out significantly with an exceptionally low inventory period of just 0.14 days, indicating it moves inventory extremely quickly. This short turnaround time suggests high efficiency in managing and selling its real estate assets compared to others in the list, where companies with higher inventory days would indicate slower turnover

-Key observation for Inventory problem:
-The analysis reveals that Rayonier Inc. does not appear to have an inventory problem, as evidenced by its high inventory turnover ratio of 24.59 and low inventory days of 14.85, indicating effective management and rapid conversion of inventory into sales. 
-Tejon Ranch Co. exhibits potential inventory issues, reflected in its lower inventory turnover of 11.04 and longer inventory days of 33.06, suggesting inefficiencies in selling through stock.
-These metrics imply that while Rayonier is optimizing its inventory operations, Tejon Ranch may need to reassess its inventory management strategies to enhance efficiency and reduce holding costs.

-Gross Margin: Rayonier Inc. maintains a stable gross margin between 0.17 and 0.31, while Tejon Ranch fluctuates between 0.07 and 0.3.
-Net Margin: Tejon Ranch's net margin improved from -0.04 in 2017 to 0.2 in 2022 but fell to 0.07 in 2023; Rayonier's remains steady at 0.1 to 0.19.
-Total Revenue: Rayonier's revenue peaked at $1,109.6 million in 2021, far exceeding Tejon Ranch's $79.22 million in 2022.
-Inventory Days: Tejon Ranch's inventory days peaked at 45.21 in 2021, indicating inefficiencies, while Rayonier's range is much lower at 5.43 to 15.51.

The chart depicts the distribution of enterprise revenue, with the first bar representing the entire real estate industry, while the second and third bars correspond to Rayonier Inc. and Tejon Ranch, respectively. The chart compares the cost of revenue (COGS) for the real estate industry with Rayonier Inc. and Tejon Ranch Co. The industry averages a low COGS of 45.18%, indicating effective cost management. However, Rayonier’s COGS is 72.15%, suggesting higher expense pressures that could impact profitability, while Tejon Ranch has the highest COGS at 86.20%, raising concerns about its operational efficiency. These elevated COGS figures for both companies relative to the industry average point to potential challenges in cost management and areas needing improvement.

The chart depicts the distribution of enterprise revenue, with the first bar representing the entire real estate industry, while the second and third bars correspond to Rayonier Inc. and Tejon Ranch, respectively. The chart shows that the real estate industry has an average asset percentage of 67.66%, while Rayonier Inc. stands out with a strong 87.79%, indicating a robust asset base for growth. Tejon Ranch Co. has a lower asset percentage of 62.59%, suggesting a smaller asset pool relative to its revenue. This highlights Rayonier's competitive advantage in leveraging assets effectively compared to both the industry average and Tejon Ranch.

-Net Income: Rayonier Inc. illustrates significant growth in net income, peaking at $210.49 million in 2021, while Tejon Ranch Co. showed volatility, with a loss of $0.75 million in 2020 and a peak of $15.81 million in 2022
-Total Cash Flow from Operating Activities: Rayonier Inc. consistently maintained high cash flow from operating activities, peaking at $325.11 million in 2021, while Tejon Ranch Co. faced fluctuations, with a notable dip to $2.82 million in 2021.
-Average Stock Price: Rayonier Inc. had a higher average stock price throughout the years, reaching $42.00 in 2021, compared to Tejon Ranch Co.'s peak of $20.46 in the same year, indicating stronger investor confidence.
-Market Capitalization: Rayonier Inc. demonstrated far greater market capitalization than Tejon Ranch Co., hitting $6,102.78 million in 2021, while Tejon's market cap peaked at $540.56 million, reflecting its dominance in the market.
-Summary: Rayonier Inc. outperforms Tejon Ranch Co. across all key financial metrics, indicating greater financial stability, operational efficiency, and investor confidence. Tejon Ranch shows considerable volatility and lower overall financial health, suggesting challenges in its business model and market position compared to the more robust performance of Rayonier

The above chart compares Rayonier Inc. and Tejon Ranch Co. based on net income and market capitalization from 2016 to 2023.
-The net income trends for Tejon Ranch Co. and Rayonier Inc. from 2016 to 2023 reveal contrasting performances; Tejon Ranch experienced significant fluctuations, with losses in 2017 and 2020 but a notable increase to 15.81 in 2022, while Rayonier's net income steadily declined from 211.97 in 2016 to 67.68 in 2019 before rebounding to 210.49 in 2021.
-In terms of market capitalization, Tejon Ranch Co. showed volatility, peaking at 540.56 in 2021 and dropping to 447.39 in 2023, whereas Rayonier Inc. consistently maintained a higher market cap, rising from 3657.61 in 2016 to 6383.88 in 2023, reflecting a more stable financial health and investor confidence over the same period

-Net Income: Tejon Ranch Co. experienced significant volatility with a peak net income of 15.81 in 2022, while Rayonier Inc. displayed more stability, peaking at 210.49 in 2021.
-Total Revenue: Rayonier consistently outperformed Tejon Ranch, with total revenue reaching a high of 1,109.6 in 2021 compared to Tejon's peak of 79.22 in 2022.
-Current Ratio: Tejon Ranch had an exceptionally high current ratio of 9.92 in 2017, indicating strong liquidity, while Rayonier's current ratio remained stable between 1.79 and 2.68 over the years.
-Liquidity Asset Ratio: Tejon Ranch’s liquidity asset ratio remained low and stable at 0.16 from 2021 to 2023, whereas Rayonier’s ratio fluctuated around 0.41 to 0.48 during the same period, indicating better liquidity management.
-Rayonier Inc. shows stronger and more stable financial performance, with higher net income and total revenue compared to Tejon Ranch Co., which experiences greater volatility in income and lower total revenue, though it demonstrates stronger liquidity at times despite a declining liquidity asset ratio.

-COGS: Tejon Ranch Co. shows a fluctuating trend in COGS, with a high of 0.93 in 2020 and a low of 0.7 in 2022, indicating inconsistencies in cost management. In contrast, Rayonier Inc. maintains a more stable COGS, ranging from 0.67 to 0.83, suggesting better control over production costs and operational efficiency.
-Inventory Days: Tejon Ranch exhibits significant variability in inventory days, peaking at 45.21 in 2021, which indicates potential issues in inventory turnover and management inefficiencies. Rayonier Inc., however, consistently maintains lower inventory days, reaching a minimum of 5.43 in 2020, reflecting efficient inventory management and quicker turnover of stock.
-Labor Productivity: Tejon Ranch displays marked improvements in labor productivity, particularly in 2022, where it reached 1.02; however, this figure still lags behind Rayonier Inc., which maintains higher productivity levels consistently above 2.0, peaking at 2.73 in 2021. This suggests that Rayonier is better at maximizing its labor efficiency compared to Tejon.
-SG&A Expenses/Total Revenue: Tejon Ranch has incomplete data but shows higher SG&A expenses as a percentage of total revenue in 2016 and 2018 (0.28 and 0.21), indicating relatively high operational costs. Conversely, Rayonier Inc. demonstrates effective expense management with SG&A ratios consistently low (0.05 to 0.07), which likely contributes to its overall financial stability and efficiency.
-Tejon Ranch Co. shows variability in cost management and operational efficiency, particularly in COGS and inventory days, reflecting potential challenges in inventory management and labor productivity. In contrast, Rayonier Inc. demonstrates consistent stability in costs, efficient inventory turnover, and superior labor productivity, indicating stronger operational efficiency and better expense control throughout the analyzed years.