Activity ratios measure how efficiently a company performs day-to-day tasks, such us the collection of receivables and management of inventory.
Paying user area
Try for free
AT&T Inc. pages available for free this week:
- Balance Sheet: Assets
- Analysis of Long-term (Investment) Activity Ratios
- Dividend Discount Model (DDM)
- Selected Financial Data since 2005
- Net Profit Margin since 2005
- Operating Profit Margin since 2005
- Current Ratio since 2005
- Price to Earnings (P/E) since 2005
- Price to Book Value (P/BV) since 2005
- Price to Sales (P/S) since 2005
The data is hidden behind: . Unhide it.
Get full access to the entire website from $10.42/mo, or
get 1-month access to AT&T Inc. for $24.99.
This is a one-time payment. There is no automatic renewal.
We accept:
Short-term Activity Ratios (Summary)
Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
The analysis of key efficiency ratios and related periods over multiple quarters reveals several notable trends.
- Inventory Turnover (ratio)
- The inventory turnover ratio demonstrates considerable fluctuation over the observed quarters. Starting at 21.63 in the early period, the ratio peaks at 30.23 before declining to 14.5. Subsequently, it trends upwards again, reaching values around 23 to 27, then appearing to stabilize with slight oscillations around 20 to 23 towards the later quarters. This pattern suggests variable inventory management efficiency, with periods of rapid turnover followed by some slower inventory cycles and then partial recovery.
- Receivables Turnover (ratio)
- The receivables turnover ratio generally shows an improving trend. Initially at 8.5, the ratio increases steadily to peak around 13.59 and then remains relatively stable around the 12 to 14 range. Such an upward trend points to enhanced effectiveness in collecting receivables, implying improvements in credit management or collection processes over time.
- Average Inventory Processing Period (number of days)
- This period inversely reflects trends seen in inventory turnover. It begins near 17 days, dips to a low of 12 days indicating faster inventory processing, then rises significantly to 25 days before gradually declining again to approximately 13 to 19 days by the latest quarter. The variations correspond closely with inventory turnover changes, signifying periods of both accelerated and decelerated inventory handling.
- Average Receivable Collection Period (number of days)
- The average collection period reduces from an initial 43 days to a low near 26 days, with some fluctuations in between. This shortened interval corroborates the improved receivables turnover ratio, confirming that customers are paying more promptly or collection efforts are more effective over the observed timeframe.
- Operating Cycle (number of days)
- The operating cycle, representing the sum of inventory processing and collection periods, decreases overall from 60 days initially to around 43 to 46 days in later periods. Although intermediate quarters show some variability with peaks near 57 days, the general downward trend indicates an enhancement in operational efficiency, shortening the time between inventory acquisition and cash realization.
Overall, the data suggest a trend towards improved working capital efficiency through better inventory and receivables management, despite noticeable fluctuations. Improved turnover ratios and shortened processing and collection periods point to operational enhancements and potentially better cash flow management in the later quarters compared to earlier periods.
Turnover Ratios
Average No. Days
Inventory Turnover
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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
Cost of revenues | |||||||||||||||||||||||||||||
Inventories | |||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||
Inventory turnover1 | |||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||
Inventory Turnover, Competitors2 | |||||||||||||||||||||||||||||
T-Mobile US Inc. | |||||||||||||||||||||||||||||
Verizon Communications Inc. |
Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q2 2025 Calculation
Inventory turnover
= (Cost of revenuesQ2 2025
+ Cost of revenuesQ1 2025
+ Cost of revenuesQ4 2024
+ Cost of revenuesQ3 2024)
÷ Inventories
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals several notable trends across cost of revenues, inventories, and inventory turnover ratios.
- Cost of Revenues
- The cost of revenues exhibited a fluctuating yet overall moderating trend over the observed periods. Starting at approximately $19.2 billion in March 2020, it experienced a peak towards the end of 2020, reaching over $22.9 billion in December 2020. Subsequently, the figures declined significantly to around $12.7 billion by March 2022. From this point onward, the cost of revenues displayed some volatility, with intermittent increases seen during December quarters of 2022 and 2024, but generally remained around the $11-14 billion range in recent periods. The data suggest some seasonality with higher costs often recorded in the fourth quarter of each year.
- Inventories
- Inventory levels showed a declining trend from the first available data point in December 2020 at nearly $3.7 billion down to lower levels around $2.1 to $2.5 billion throughout 2023 and into early 2024. However, inventories showed some variability without a consistent directional pattern, reflecting periodic restocking or changes in supply chain dynamics. The lowest observed values occurred around September 2024, with a moderate increase afterward through mid-2025. The fluctuations could indicate adjustments in inventory management strategies or responses to demand changes.
- Inventory Turnover Ratio
- The inventory turnover ratio demonstrated significant fluctuations over time, indicating variations in how efficiently inventory was managed and sold. From a high turnover ratio exceeding 30 in September 2021, the ratio generally decreased into 2022 and early 2023, reaching lows near 14.5. Following this period, turnover improved again, showing peaks around 27 in September 2024 but dropping somewhat afterward. The ratio’s variability points to changing inventory efficiency, possibly affected by shifts in sales volume, inventory purchasing decisions, or operational adjustments.
In summary, the financial data reflect a period characterized by considerable variability in cost structures, inventory levels, and management efficiency. The cost of revenues saw a notable reduction from late 2020 with seasonal peaks, inventories trended downward with intermittent increases, and inventory turnover fluctuated widely, indicating adjustments in operational and sales dynamics across the observed quarters.
Receivables Turnover
Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
Operating revenues | |||||||||||||||||||||||||||||
Accounts receivable, net of related allowances for credit loss | |||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||
Receivables turnover1 | |||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||
Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||
T-Mobile US Inc. | |||||||||||||||||||||||||||||
Verizon Communications Inc. |
Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q2 2025 Calculation
Receivables turnover
= (Operating revenuesQ2 2025
+ Operating revenuesQ1 2025
+ Operating revenuesQ4 2024
+ Operating revenuesQ3 2024)
÷ Accounts receivable, net of related allowances for credit loss
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data reveals several notable trends in revenues, accounts receivable, and receivables turnover over the reported periods.
- Operating Revenues
- Operating revenues demonstrate significant fluctuation throughout the periods. Beginning at approximately $42,779 million in March 2020, revenues experienced a decline during the mid-2021 period, dipping below $40,000 million, specifically reaching a low of around $39,922 million in September 2021. A more pronounced decrease is observed starting from March 2022, with revenues dropping sharply to approximately $29,712 million and subsequently stabilizing in the $29,000–$32,000 million range through 2024. The trend indicates a substantial contraction in revenues beginning 2022, followed by moderate recovery and stabilization in subsequent quarters, although revenue has not returned to pre-2022 levels by June 2025.
- Accounts Receivable, Net
- Accounts receivable, net of allowances, followed a general downward trajectory over the course of the data periods. Starting from $19,908 million at the end of March 2020, the balances decreased substantially by mid-2022, reaching levels around $11,377 to $11,466 million. After this mid-2022 trough, receivables continued to decline gradually, fluctuating around $8,800 to $10,200 million through to June 2025. This consistent decline suggests improved collections, adjusted credit policies, or changes in sales composition affecting receivable balances over time.
- Receivables Turnover Ratio
- The receivables turnover ratio shows a marked improvement in efficiency over time. Data from March 2021 onward illustrate an upward trend from an initial ratio near 8.5 up to a peak exceeding 14 by early 2025. This increase points to faster collection of receivables relative to sales, indicative of tighter credit control or a shift in revenue mix with lower credit exposure. Periodic fluctuations notwithstanding, the overall trend suggests enhanced working capital management.
Overall, the data suggests that while operating revenues diminished significantly starting 2022, the management of receivables improved considerably. The reduction in accounts receivable levels, accompanied by an increasing turnover ratio, reflects more efficient collections or reduced credit sales exposure. The revenue drop may be related to structural changes in the business, market conditions, or other external factors that warrant further qualitative investigation. The data highlights an emphasis on liquidity and receivables management amid a challenging revenue environment.
Working Capital Turnover
Jun 30, 2025 | Mar 31, 2025 | Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | Dec 31, 2023 | Sep 30, 2023 | Jun 30, 2023 | Mar 31, 2023 | Dec 31, 2022 | Sep 30, 2022 | Jun 30, 2022 | Mar 31, 2022 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
Current assets | |||||||||||||||||||||||||||||
Less: Current liabilities | |||||||||||||||||||||||||||||
Working capital | |||||||||||||||||||||||||||||
Operating revenues | |||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||
Working capital turnover1 | |||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||
Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||
T-Mobile US Inc. | |||||||||||||||||||||||||||||
Verizon Communications Inc. |
Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q2 2025 Calculation
Working capital turnover
= (Operating revenuesQ2 2025
+ Operating revenuesQ1 2025
+ Operating revenuesQ4 2024
+ Operating revenuesQ3 2024)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The financial data reveals several notable trends across the reported quarters for various key financial metrics. The focus is placed primarily on the working capital and operating revenues, as well as the derived working capital turnover ratio which is not provided but can be discussed in terms of implications.
- Working Capital
- Working capital shows significant fluctuations over the period. Starting from a deficit of -17,000 million US dollars in March 2020, there is an improvement trend until September 2020 where the deficit narrows to -9,594 million. Subsequently, working capital deteriorates again, reaching a low point of -25,591 million in December 2021. From 2022 onward, there is a general pattern of improvement with some volatility, fluctuating but trending towards less negative figures, hitting -9,259 million by June 2025. Overall, despite remaining negative, working capital improves over this extended period, indicating potentially better short-term liquidity management or changes in current assets and liabilities structure.
- Operating Revenues
- Operating revenues fluctuate throughout the quarters without a clear upward or downward trend. Initial revenues in March 2020 are approximately 42,779 million US dollars, then generally oscillate between about 29,000 to 45,000 million US dollars across the periods up to 2023. The lowest revenues appear in the first half of 2022, staying around 29,000 to 31,000 million, while peaks such as in December 2020 reach roughly 45,691 million. In the latest quarters (2024-2025), revenues hover around 30,000 to 32,000 million, indicating a period of relative stability but at slightly lower levels compared to the pre-2022 peak periods. This suggests revenue pressures possibly due to market conditions or operational challenges.
- Working Capital Turnover
- The working capital turnover ratio is missing, but it can be inferred that with fluctuating working capital (largely negative and improving) and somewhat stable to declining operating revenues, the ratio would reflect inefficiencies or challenges in asset and liability management. A negative working capital declining in magnitude while revenues moderately hold steady might indicate better asset utilization or faster turnover of inventory and receivables in recent periods. Conversely, the times of more severely negative working capital combined with more variable revenues could suggest periods of financial strain or operational inefficiencies.
In summary, there is a clear pattern of improvement in working capital from late 2021 onward, indicating progress in managing short-term financial obligations. Operating revenues, however, do not show a strong positive trend and seem to face some downward pressure starting in 2022. This combination could indicate that while the company is improving liquidity management, it encounters challenges in revenue growth, which may affect overall financial health and operational dynamics.
Average Inventory Processing Period
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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||
Inventory turnover | |||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
Average inventory processing period1 | |||||||||||||||||||||||||||||
Benchmarks (no. days) | |||||||||||||||||||||||||||||
Average Inventory Processing Period, Competitors2 | |||||||||||||||||||||||||||||
T-Mobile US Inc. | |||||||||||||||||||||||||||||
Verizon Communications Inc. |
Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q2 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
- Inventory Turnover Ratio Trends
- The inventory turnover ratio exhibits noticeable fluctuations over the observed periods. Starting at 21.63 in March 2021, it ascended to a peak of 30.23 in September 2021, indicating more efficient inventory management or higher sales relative to inventory during this quarter. However, the ratio then generally declined, reaching a low point of 14.5 by December 2022. After this trough, the turnover ratio rebounded, with several peaks and troughs, notably increasing again to 27.18 by September 2024 before declining somewhat in the last observed periods to 19.01 and 21.22. Overall, the pattern reflects periods of improved inventory management interspersed with times of slower inventory movement.
- Average Inventory Processing Period Trends
- The average inventory processing period, expressed as the number of days, inversely mirrors the inventory turnover trends. Initially, it stood at 17 days in March 2021, decreased to a low of 12 days in September 2021, corresponding to the peak inventory turnover ratio. This indicates faster inventory processing. Subsequently, the period lengthened, reaching a maximum of 25 days in December 2022, reflecting slower inventory turnover and possibly inventory accumulation or reduced sales. Following this period, the average processing interval shortened again, fluctuating between 13 and 20 days through the end of the observation period. These changes suggest variability in how quickly inventory was converted into sales over time, possibly influenced by market demand or inventory management practices.
- Correlation and Implications
- The inverse relationship between inventory turnover and the average inventory processing period is consistent with expected financial dynamics; as the turnover ratio rises, the average processing period decreases, and vice versa. The observed volatility in both metrics suggests periodic shifts in operational efficiency or external market conditions affecting inventory flow. Such fluctuations warrant attention to inventory strategies and sales forecasts to optimize working capital management and reduce holding costs.
Average Receivable Collection Period
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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||
Receivables turnover | |||||||||||||||||||||||||||||
Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
Average receivable collection period1 | |||||||||||||||||||||||||||||
Benchmarks (no. days) | |||||||||||||||||||||||||||||
Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||
T-Mobile US Inc. | |||||||||||||||||||||||||||||
Verizon Communications Inc. |
Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q2 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The receivables turnover ratio demonstrates a generally positive trend across the observed periods. Starting from a value of 8.5, the ratio increases steadily with some fluctuations, reaching a peak of 14.02 by June 30, 2025. This upward movement indicates an improvement in the efficiency of the company in collecting its receivables over time, suggesting enhanced credit management or faster cash conversion cycles.
Complementing this observation, the average receivable collection period, measured in days, exhibits a declining trend. Beginning at 43 days, this period decreases in a somewhat consistent manner to 26 days by June 30, 2025. A shorter collection period aligns with the increased receivables turnover ratio, reinforcing the impression of improved liquidity and more effective receivables management.
There are minor fluctuations within certain quarters; for example, slight increases in the collection period occur around March and June 2022, and again near March 2024. However, these are temporary deviations within an overall declining trend. Correspondingly, receivables turnover shows minor temporary dips in some quarters but maintains an upward trajectory.
In summary, the data suggests a strengthening in the company’s working capital cycle relative to receivables, with faster collection times and greater turnover ratios that contribute positively to cash flow management and operational efficiency over the examined time frame.
Operating Cycle
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 | Dec 31, 2021 | Sep 30, 2021 | Jun 30, 2021 | Mar 31, 2021 | Dec 31, 2020 | Sep 30, 2020 | Jun 30, 2020 | Mar 31, 2020 | ||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Selected Financial Data | |||||||||||||||||||||||||||||
Average inventory processing period | |||||||||||||||||||||||||||||
Average receivable collection period | |||||||||||||||||||||||||||||
Short-term Activity Ratio | |||||||||||||||||||||||||||||
Operating cycle1 | |||||||||||||||||||||||||||||
Benchmarks | |||||||||||||||||||||||||||||
Operating Cycle, Competitors2 | |||||||||||||||||||||||||||||
T-Mobile US Inc. | |||||||||||||||||||||||||||||
Verizon Communications Inc. |
Based on: 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), 10-K (reporting date: 2021-12-31), 10-Q (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-K (reporting date: 2020-12-31), 10-Q (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31).
1 Q2 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
- Average Inventory Processing Period
- The average inventory processing period shows variability over the observed quarters. Starting at 17 days in March 2021, it decreases to a low of 12 days by September 2021, indicating an improvement in inventory turnover efficiency. Subsequently, the period rises, peaking at 25 days in December 2022, suggesting slower inventory processing at that time. Following this peak, there is a general decline to 16 days by June 2024, with minor fluctuations thereafter, reflecting a partial recovery in inventory management efficiency.
- Average Receivable Collection Period
- The average receivable collection period exhibits a downward trend from an initial 43 days in March 2021 to 26 days by June 2025. This steady reduction indicates enhanced efficiency in collecting receivables, improving cash flow management. Notable fluctuations occur between March 2022 and March 2023 where the period increased slightly before resuming its declining pattern, suggesting temporary challenges in collections that were subsequently addressed.
- Operating Cycle
- The operating cycle, combining inventory processing and receivable collection periods, decreased from 60 days in March 2021 to 43 days in June 2025. Despite some oscillations—particularly an increase up to 57 days around December 2022—the overall trend reflects improved operational efficiency. The reduction in the operating cycle implies faster conversion of inventory and receivables into cash, beneficial for liquidity and working capital management.