Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
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Short-term Activity Ratios (Summary)
Based on: 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
The short-term operating activity ratios exhibit varied trends over the observed period. Inventory turnover generally increased from March 2022 through June 2023, before fluctuating and showing a slight decline towards the end of the period. Receivables turnover remained relatively stable, with minor fluctuations throughout the observed timeframe. Working capital turnover shows limited information, with values only available for a few quarters, indicating a significant increase in September 2023, followed by a decrease in March 2024, and no values for the remaining periods. The average inventory processing period decreased initially, then stabilized, and shows a slight increase towards the end of the period. The average receivable collection period remained consistently around 20 days for most of the period, with a slight increase in the later quarters. The operating cycle followed a similar pattern to the average receivable collection period, remaining relatively stable around 40 days, with a noticeable increase in the final two quarters.
- Inventory Turnover
- Inventory turnover increased from 13.90 in March 2022 to a peak of 23.32 in June 2023. Subsequent quarters saw a decrease, fluctuating between 16.36 and 19.63. The final reported value in December 2025 is 13.63, returning to levels similar to those observed at the beginning of the period. This suggests a potential slowing of inventory conversion into sales in the latter part of the period.
- Receivables Turnover
- Receivables turnover demonstrated a high degree of stability. Values consistently ranged between 16.74 and 20.04 throughout the observed period. A slight downward trend is observable in the later quarters, but the fluctuations remain within a narrow range. This indicates consistent efficiency in collecting receivables.
- Working Capital Turnover
- Working capital turnover shows limited availability of information. A substantial value of 50.77 is recorded in September 2023, followed by 21.69 in March 2024. The absence of values for other quarters makes it difficult to assess a clear trend or draw meaningful conclusions regarding the efficiency of working capital utilization.
- Average Inventory Processing Period
- The average inventory processing period generally decreased from 26 days in March 2022 to 16 days in June 2023. It then stabilized around 19-22 days for several quarters, before increasing to 28 days in September 2025. This suggests an initial improvement in inventory management, followed by a potential lengthening of the time required to process inventory.
- Average Receivable Collection Period
- The average receivable collection period remained relatively consistent, fluctuating between 18 and 22 days. A slight upward trend is observed in the later quarters, with values reaching 22 days in September 2025 and remaining at 20 days in December 2025. This indicates a minor lengthening in the time taken to collect receivables.
- Operating Cycle
- The operating cycle mirrored the trend in the average receivable collection period, remaining stable around 40 days for most of the period. A noticeable increase is observed in the final two quarters, reaching 50 days in September 2025 and 47 days in December 2025. This suggests a potential increase in the time required to convert inventory into cash.
Turnover Ratios
Average No. Days
Inventory Turnover
| Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||
| Cost of revenues | |||||||||||||||||||||
| Inventory | |||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||
| Inventory turnover1 | |||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||
| Inventory Turnover, Competitors2 | |||||||||||||||||||||
| AT&T Inc. | |||||||||||||||||||||
| Verizon Communications Inc. | |||||||||||||||||||||
Based on: 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q4 2025 Calculation
Inventory turnover
= (Cost of revenuesQ4 2025
+ Cost of revenuesQ3 2025
+ Cost of revenuesQ2 2025
+ Cost of revenuesQ1 2025)
÷ Inventory
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The inventory turnover ratio exhibits considerable fluctuation over the observed period, spanning from March 31, 2022, to December 31, 2025. Initially, the ratio demonstrates an increasing trend, peaking in the June 30, 2023, timeframe, before experiencing subsequent variability. A general observation suggests a potential correlation between inventory turnover and cost of revenues, though the relationship isn't consistently direct.
- Initial Trend (Mar 31, 2022 – Jun 30, 2023)
- From March 31, 2022 (13.90) to June 30, 2023 (23.32), the inventory turnover ratio generally increased. This indicates a more efficient conversion of inventory into sales during this period. The most significant increase occurred between March 31, 2023 (19.63) and June 30, 2023 (23.32), suggesting a particularly strong sales performance relative to inventory levels at that time.
- Subsequent Variability (Sep 30, 2023 – Dec 31, 2025)
- Following the peak in June 2023, the ratio became more volatile. It decreased to 18.08 by September 30, 2023, then remained relatively stable around the 17-22 range through December 2024. A noticeable decline is observed in the final two periods, falling to 13.20 by September 30, 2025, and 13.63 by December 31, 2025. This recent downward trend could indicate slowing sales, increased inventory levels, or a combination of both.
- Cost of Revenues Relationship
- While not a perfect correlation, periods of higher cost of revenues generally coincide with either stable or decreasing inventory turnover. For example, the increase in cost of revenues from September 30, 2023 (7,135) to December 31, 2023 (8,400) occurred alongside a slight decrease in inventory turnover (18.08 to 17.99). Conversely, decreases in cost of revenues do not always translate to increases in inventory turnover, suggesting other factors influence the ratio.
- Inventory Levels
- Inventory levels generally decreased from 2,715 in March 2022 to 1,607 in December 2023, contributing to the initial rise in turnover. However, inventory began to increase again in 2024 and 2025, reaching 2,405 by December 2025. This increase in inventory, coupled with fluctuating cost of revenues, likely contributed to the recent decline in the inventory turnover ratio.
In conclusion, the inventory turnover ratio demonstrates a dynamic pattern over the analyzed timeframe. While initially exhibiting strong growth, the ratio has become more variable and recently shown a downward trend. Further investigation into the underlying drivers of these changes, including sales performance, inventory management strategies, and cost of revenues fluctuations, is recommended.
Receivables Turnover
| Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||
| Revenues | |||||||||||||||||||||
| Accounts receivable, net of allowance for credit losses | |||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||
| Receivables turnover1 | |||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||
| AT&T Inc. | |||||||||||||||||||||
| Verizon Communications Inc. | |||||||||||||||||||||
Based on: 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q4 2025 Calculation
Receivables turnover
= (RevenuesQ4 2025
+ RevenuesQ3 2025
+ RevenuesQ2 2025
+ RevenuesQ1 2025)
÷ Accounts receivable, net of allowance for credit losses
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The receivables turnover ratio for the analyzed period demonstrates a generally stable pattern with some fluctuations. Overall, the ratio indicates the efficiency with which the company converts its receivables into cash. A consistent range is observed, suggesting a relatively consistent credit and collection policy over the examined timeframe.
- Overall Trend
- The receivables turnover ratio fluctuated between approximately 16.74 and 20.04 over the period. While there isn't a strong, sustained upward or downward trend, the ratio generally remained within a narrow band, indicating consistent performance in collecting receivables. A slight dip is observed in late 2022 and early 2023, followed by a recovery and then a slight decline again in late 2025.
- Short-Term Fluctuations
- A decrease in the ratio is apparent from the first quarter of 2022 (20.04) to the second quarter of 2022 (17.96). This suggests a potential slowdown in collections or an increase in outstanding receivables during that period. The ratio then experiences a modest increase in the third quarter of 2022 (18.52) before declining slightly again in the fourth quarter (17.90). Similar short-term fluctuations are visible throughout the subsequent periods.
- Recent Performance (2024-2025)
- The ratio showed relative stability in the first half of 2024, moving from 18.46 in the first quarter to 17.33 in the second. A slight increase to 18.67 and 19.04 in the third and fourth quarters of 2024 is observed. The ratio then decreased to 18.83 and 18.28 in the first and second quarters of 2025, followed by a more noticeable decline to 16.89 in the third quarter of 2025. The final quarter of 2025 shows a recovery to 18.12.
- Relationship to Revenue
- The receivables turnover ratio is calculated in relation to revenue. While revenue generally increased over the period, the receivables turnover ratio did not consistently follow this trend. This suggests that the growth in revenue was not directly proportional to the efficiency of collecting receivables, and other factors, such as changes in credit terms or customer payment behavior, may have influenced the ratio.
In conclusion, the receivables turnover ratio demonstrates a generally consistent level of efficiency in converting receivables to cash, with some expected quarterly variations. The recent decline in the third quarter of 2025 warrants further investigation to determine if it represents a temporary fluctuation or a developing trend.
Working Capital Turnover
| Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||
| Current assets | |||||||||||||||||||||
| Less: Current liabilities | |||||||||||||||||||||
| Working capital | |||||||||||||||||||||
| Revenues | |||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||
| Working capital turnover1 | |||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||
| AT&T Inc. | |||||||||||||||||||||
| Verizon Communications Inc. | |||||||||||||||||||||
Based on: 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q4 2025 Calculation
Working capital turnover
= (RevenuesQ4 2025
+ RevenuesQ3 2025
+ RevenuesQ2 2025
+ RevenuesQ1 2025)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The working capital turnover ratio exhibits significant fluctuations over the observed period. Initially, the ratio is unavailable for the first three quarters of 2022. A substantial value of 50.77 is recorded for the third quarter of 2023, followed by a decrease to 21.69 in the first quarter of 2024, and then 18.00 in the second quarter of 2024. The ratio is unavailable for the remaining quarters.
- Working Capital Trend
- Working capital demonstrates a consistently negative balance through the first three quarters of 2023, indicating that current liabilities exceed current assets. The balance begins to shift towards positive values in the fourth quarter of 2023 and continues into the first two quarters of 2024, before returning to negative territory in subsequent periods. The magnitude of the negative working capital decreases over time until the first half of 2024, then increases again.
- Revenue Trend
- Revenues remain relatively stable between approximately US$19.2 billion and US$20.3 billion from the first quarter of 2022 through the fourth quarter of 2023. A noticeable increase in revenues is observed in the fourth quarter of 2024, reaching US$24.3 billion. This represents the highest revenue figure within the analyzed timeframe.
- Working Capital Turnover Interpretation
- The high turnover ratio in the third quarter of 2023 suggests efficient utilization of working capital to generate sales during that period. The subsequent decline in the ratio during the first half of 2024, coinciding with a shift towards positive working capital, could indicate a less aggressive approach to working capital management or a change in the composition of current assets and liabilities. The lack of available data for most of the period limits a comprehensive assessment of the ratio’s behavior.
The interplay between working capital and revenue suggests a complex relationship. While revenues are relatively stable for much of the period, the significant fluctuations in working capital and the limited availability of the working capital turnover ratio make it difficult to draw definitive conclusions about operational efficiency.
Average Inventory Processing Period
| Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||
| Inventory turnover | |||||||||||||||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||
| Average inventory processing period1 | |||||||||||||||||||||
| Benchmarks (no. days) | |||||||||||||||||||||
| Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||
| AT&T Inc. | |||||||||||||||||||||
| Verizon Communications Inc. | |||||||||||||||||||||
Based on: 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q4 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The average inventory processing period exhibited a generally decreasing trend over the observed timeframe, with some fluctuations. Initially, the period stood at 26 days in March 2022, before declining to a low of 16 days by June 2023. Subsequent quarters saw some increases, but generally remained below the initial value, concluding at 27 days in December 2025.
- Overall Trend
- A noticeable decline in the average inventory processing period occurred between March 2022 and June 2023. This suggests increasing efficiency in managing inventory, potentially through improved supply chain management or increased sales velocity. Following this decline, the period experienced some volatility, but did not return to the levels observed at the beginning of the period.
- Short-Term Fluctuations
- The period remained relatively stable at 22 days for two consecutive quarters (June 30, 2022 and September 30, 2022). A subsequent decrease to 19 days was observed by December 31, 2022. A slight increase to 20 days occurred in the first half of 2023, before reaching the minimum of 16 days. The period then increased to 28 days by September 2025, representing the highest value observed during the analyzed period.
- Recent Performance
- The most recent quarters show a slight upward trend, with the average inventory processing period increasing from 20 days in June 2025 to 27 days in December 2025. This warrants further investigation to determine if this is a temporary fluctuation or the beginning of a new trend. The increase could be due to factors such as slower sales, increased inventory levels, or disruptions in the supply chain.
- Relationship to Inventory Turnover
- The average inventory processing period demonstrates an inverse relationship with the inventory turnover ratio. As the inventory turnover ratio increased, the average processing period generally decreased, and vice versa. This is expected, as a higher turnover rate indicates that inventory is being sold more quickly, resulting in a shorter processing period.
Average Receivable Collection Period
| Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||
| Receivables turnover | |||||||||||||||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||
| Average receivable collection period1 | |||||||||||||||||||||
| Benchmarks (no. days) | |||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||
| AT&T Inc. | |||||||||||||||||||||
| Verizon Communications Inc. | |||||||||||||||||||||
Based on: 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q4 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The average receivable collection period exhibited relative stability over the observed period, with minor fluctuations. Generally, the period remained within a narrow range, indicating consistent efficiency in collecting receivables.
- Overall Trend
- The average receivable collection period fluctuated between 18 and 22 days throughout the analyzed timeframe. The metric demonstrated a slight increase from 18 days in the March 2022 quarter to 22 days in the December 2022 quarter, followed by a return towards the lower end of the range.
- Short-Term Fluctuations
- An initial period of stability at 18 days was observed in the March 2022 quarter. Subsequent quarters through December 2022 saw a gradual increase to 22 days. The period then decreased to 20 days in the March 2023 quarter before increasing again to 21 days in the June 2023 quarter. A slight increase to 22 days was noted in the September 2023 quarter, followed by a decrease to 20 days in the December 2023 quarter.
- Recent Performance
- From March 2024 through June 2025, the average collection period remained relatively stable, oscillating between 19 and 22 days. The most recent quarter, ending June 2025, reported a collection period of 20 days, aligning with the average observed throughout much of the period.
- Consistency
- Despite the minor fluctuations, the average receivable collection period remained consistently below 23 days, suggesting effective credit and collection policies. The metric’s stability indicates a predictable cash conversion cycle related to accounts receivable.
Operating Cycle
| Dec 31, 2025 | Sep 30, 2025 | Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||
| Average inventory processing period | |||||||||||||||||||||
| Average receivable collection period | |||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||
| Operating cycle1 | |||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||
| Operating Cycle, Competitors2 | |||||||||||||||||||||
| AT&T Inc. | |||||||||||||||||||||
| Verizon Communications Inc. | |||||||||||||||||||||
Based on: 10-K (reporting date: 2025-12-31), 10-Q (reporting date: 2025-09-30), 10-Q (reporting date: 2025-06-30), 10-Q (reporting date: 2025-03-31), 10-K (reporting date: 2024-12-31), 10-Q (reporting date: 2024-09-30), 10-Q (reporting date: 2024-06-30), 10-Q (reporting date: 2024-03-31), 10-K (reporting date: 2023-12-31), 10-Q (reporting date: 2023-09-30), 10-Q (reporting date: 2023-06-30), 10-Q (reporting date: 2023-03-31), 10-K (reporting date: 2022-12-31), 10-Q (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31).
1 Q4 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
The operating cycle of the company exhibits a generally stable pattern with some fluctuations over the observed period. The average inventory processing period and average receivable collection period contribute to the overall operating cycle length. Analysis reveals trends in each component and their combined effect.
- Average Inventory Processing Period
- The average inventory processing period generally decreased from 26 days in March 2022 to 16 days in June 2023. A slight increase was then observed, reaching 28 days in September 2025. This suggests improved efficiency in managing inventory for much of the period, followed by a potential slowdown in inventory turnover towards the end of the observation window. Fluctuations within the period were relatively minor, indicating consistent inventory management practices overall.
- Average Receivable Collection Period
- The average receivable collection period remained relatively stable between 18 and 22 days throughout the observed timeframe. A slight upward trend is noticeable from 18 days in March 2022 to 22 days in September 2023, followed by a return to approximately 20 days by December 2025. This indicates consistent, though slightly lengthening, collection practices. The variations are minimal, suggesting effective credit and collection policies.
- Operating Cycle
- The operating cycle generally decreased from 44 days in March 2022 to 37 days in June 2023, reflecting the improvements in both inventory processing and receivable collection. A subsequent increase is observed, reaching 50 days in September 2025. This increase correlates with the lengthening of the inventory processing period, suggesting that changes in inventory management are the primary driver of the overall operating cycle length. The operating cycle remained within a range of 37 to 44 days for a significant portion of the period, indicating a relatively consistent cash conversion process. The recent increase warrants further investigation to determine its sustainability and potential impact on liquidity.
In summary, the company demonstrated improved operating efficiency in the earlier part of the period, as evidenced by the decreasing operating cycle. However, a recent trend towards a longer operating cycle, primarily driven by inventory processing, suggests a potential area for monitoring and improvement.