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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- Balance Sheet: Liabilities and Stockholders’ Equity
- Analysis of Profitability Ratios
- Analysis of Reportable Segments
- Enterprise Value to EBITDA (EV/EBITDA)
- Enterprise Value to FCFF (EV/FCFF)
- Price to FCFE (P/FCFE)
- Selected Financial Data since 2005
- Price to Operating Profit (P/OP) since 2005
- Price to Book Value (P/BV) since 2005
- Analysis of Revenues
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Short-term Activity Ratios (Summary)
Based on: 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 financial data reveals several key trends in operational efficiency measures, focusing on inventory turnover, receivables turnover, and related cycle periods over multiple quarters.
- Inventory Turnover
- The inventory turnover ratio exhibits notable variability, beginning at 21.63 in March 2020 and generally fluctuating over the periods observed. It peaks around September 2021 at 30.23, indicating increased efficiency in selling inventory during that time, before declining to 14.5 by December 2022. Subsequently, it recovers to a moderate range between 19 and 27 in the last reported periods, finishing at 19.01 in March 2025. This suggests periods of both enhanced and reduced inventory management efficiency, with a tendency for recovery after the trough.
- Receivables Turnover
- The receivables turnover ratio shows an overall increasing trend, starting from 8.5 in March 2020 and reaching values above 13 by late 2024 and early 2025. Peaks are observed intermittently, notably near June and September 2023. Higher receivables turnover ratios reflect improved collection efficiency, implying that the company increasingly shortened the time taken to collect receivables over the analyzed period.
- Average Inventory Processing Period
- The average inventory processing period, measured in days, tends to move inversely to the inventory turnover ratio. Initially improving from 17 days in early 2020 to a minimum of 12 days by September 2020, the period lengthens significantly to 25 days by December 2022. After this peak, there is a gradual reduction, stabilizing around 16-19 days towards the latest quarters. The lengthening in 2022 corresponds with the decrease in inventory turnover, indicating slower inventory movement during that period.
- Average Receivable Collection Period
- There is a noticeable improvement in the average receivable collection period, with a decline from 43 days in early 2020 to approximately 27 days in 2025. Although minor fluctuations occur, this overall decrease supports the observation from receivables turnover, reinforcing the company's enhanced effectiveness in collecting outstanding debts.
- Operating Cycle
- The operating cycle, defined as the sum of inventory processing and receivable collection periods, broadly reflects improvements over time. From 60 days in early 2020, it decreases toward approximately 45-46 days by 2025. This shortening cycle suggests increased overall efficiency in managing working capital—inventory is held for fewer days and receivables are collected faster, contributing to a more optimized cash conversion cycle.
- Missing Data Note
- Working capital turnover data is absent across all periods, limiting a comprehensive assessment of this aspect of operational efficiency. The analysis thus focuses on inventory and receivables turnover and associated cycle metrics.
In summary, the company demonstrates improvements in receivables management and a generally shorter operating cycle, despite fluctuations in inventory turnover and processing periods. These trends indicate efforts toward enhanced liquidity management and operational efficiency, with some volatility suggesting areas for continued monitoring and potential improvement.
Turnover Ratios
Average No. Days
Inventory Turnover
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: 2025-03-31), 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 Q1 2025 Calculation
Inventory turnover
= (Cost of revenuesQ1 2025
+ Cost of revenuesQ4 2024
+ Cost of revenuesQ3 2024
+ Cost of revenuesQ2 2024)
÷ Inventories
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The quarterly financial data reveals several notable trends and fluctuations across cost of revenues, inventories, and inventory turnover over the observed periods.
- Cost of revenues
-
The cost of revenues exhibited considerable volatility throughout the quarters. Initially, there was a general increase from the first quarter of 2020 (US$19,188 million) reaching a peak at the end of 2020 with US$22,910 million. Subsequently, this value experienced fluctuations, with a notable decline in the first quarter of 2022 to US$12,735 million, the lowest point within the dataset.
Post the early 2022 trough, the cost of revenues showed some recovery but continued to display variability. It oscillated around the US$11,000 to US$14,000 million range through to the end of 2024, with some quarters registering slight increases, such as at the end of 2024 (US$14,195 million), followed by a slight drop to US$12,033 million by the first quarter of 2025.
- Inventories
-
Inventory levels, reported from the fourth quarter of 2020 onward, demonstrate a downward trend over the period. Starting at 3,695 million US dollars at the initial reading, inventory values generally declined towards around the 2,000 million mark by the first quarter of 2025, though with some variability.
This decrease reflects a contraction of inventory holdings, interspersed with some temporary increases mid-period, for example near the end of 2022 and at the close of 2024 where figures rose to 3,935 million and 2,529 million respectively. Overall, the trend points to a reduction in inventory balances over the longer term.
- Inventory turnover ratio
-
The inventory turnover ratio, available starting from the fourth quarter of 2020, indicates how efficiently the company manages its inventory relative to sales. The ratio initially improved, increasing from 21.63 in the last quarter of 2020 to a peak of 30.23 in the third quarter of 2021, indicating more rapid inventory movement.
Following this, the turnover ratio declined significantly over the next year, reaching a low of 14.5 by the last quarter of 2022. After this trough, the ratio trend reversed upward, recovering to values exceeding 20 in most subsequent quarters, reaching as high as 27.18 in the third quarter of 2024 before slightly tapering off towards the first quarter of 2025.
These fluctuations suggest changes in operational efficiency or sales patterns impacting inventory management, with periods of both higher and lower turnover intensity.
Collectively, the data depicts a business experiencing periods of cost management challenges as reflected in the cost of revenues, a general downtrend in inventory levels, and fluctuating efficiency in inventory turnover. The variability in these metrics may point to operational adjustments, supply chain dynamics, or market demand changes over the timeframe analyzed.
Receivables Turnover
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: 2025-03-31), 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 Q1 2025 Calculation
Receivables turnover
= (Operating revenuesQ1 2025
+ Operating revenuesQ4 2024
+ Operating revenuesQ3 2024
+ Operating revenuesQ2 2024)
÷ Accounts receivable, net of related allowances for credit loss
= ( + + + )
÷ =
2 Click competitor name to see calculations.
The quarterly financial data reflect several notable trends across operating revenues, accounts receivable balances, and receivables turnover ratios over the observed periods.
- Operating Revenues
- Operating revenues exhibit considerable volatility throughout the periods. Initially, there is a moderate fluctuation from March 2020 to December 2021, with revenues ranging roughly between 39,000 million and 45,000 million US dollars. A significant and sudden decline occurs starting in March 2022, with revenues dropping to the high 20,000 million range, a level considerably lower than previous periods. This lower range persists through the subsequent quarters up to March 2025, indicating a structural decrease in operating revenues compared to pre-2022 figures. Some moderate recovery attempts are observable near end-of-year quarters, but the revenues remain substantially below the pre-2022 levels.
- Accounts Receivable, Net
- The net accounts receivable balances demonstrate a declining trend starting from March 2020 through the early quarters of 2023, dropping from approximately 19,900 million US dollars to around 8,900 million US dollars by September 2023. Notably, there is a sharp decline between December 2021 and June 2022, which coincides with the steep drop in operating revenues. Some stabilization and slight fluctuations occur after mid-2023, with balances oscillating between 9,000 million and 10,500 million US dollars in recent quarters. This reduction in receivables is consistent with the lower revenue base observed in subsequent periods.
- Receivables Turnover Ratio
- Receivables turnover shows a generally increasing trend, starting with values below 9 around March 2020 (with ratios not available for early periods) and steadily rising to values exceeding 13 in some of the most recent quarters. The increase in turnover ratios suggests improved efficiency in the collection process or shorter credit periods extended to customers over time. The peak ratios above 13 occur particularly in late 2023 and throughout 2024, indicating relatively faster conversion of receivables to cash despite the lower absolute receivable balances.
In summary, the data indicate a significant contraction in operating revenues and accounts receivable starting in early 2022, pointing to a substantial shift in business scale or market conditions. Despite this contraction, the company appears to have enhanced its receivable collection efficiency, as evidenced by the increasing receivables turnover ratios, potentially reflecting tighter credit control or improved cash flow management.
Working Capital Turnover
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: 2025-03-31), 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 Q1 2025 Calculation
Working capital turnover
= (Operating revenuesQ1 2025
+ Operating revenuesQ4 2024
+ Operating revenuesQ3 2024
+ Operating revenuesQ2 2024)
÷ Working capital
= ( + + + )
÷ =
2 Click competitor name to see calculations.
- Working Capital
- The working capital values show a fluctuating but overall declining trend from March 31, 2020, through March 31, 2025. Initially, working capital was negative at -17,000 million USD in March 2020 and improved to a less negative position in the following quarters until Q3 2020. However, it deteriorated significantly toward the end of 2021, reaching levels as low as approximately -28,247 million USD in March 2023. From that point, there was some improvement, but the values continued to remain negative, fluctuating between -14,389 million USD and -15,704 million USD in the latter part of the observed period, ending at -14,219 million USD in March 2025.
- Operating Revenues
- Operating revenues demonstrate a clear seasonal pattern with some fluctuations over the reported quarters. Revenues initially fluctuated around 40,000 to 45,000 million USD in 2020 and 2021, with a notable decline observed starting in March 2022. From March 2022 onward, revenues stabilized at a significantly lower range, approximately between 29,000 and 32,000 million USD. Despite some small upward and downward variations, the revenue levels after early 2022 remain well below those seen in 2020 and 2021, indicating a probable structural or market change affecting revenue generation during the most recent periods.
- Working Capital Turnover
- Data for working capital turnover was not available, which limits the ability to assess operating efficiency relative to net working capital during this time frame.
- Summary and Insights
- The persistent negative working capital values suggest ongoing challenges in short-term liquidity management, with significant deterioration noted in late 2021 and early 2023, followed by modest recovery phases. The substantial drop in operating revenues from 2022 onwards may reflect either a decline in business volume or changes in market conditions. Despite this revenue decrease, working capital did improve somewhat after its worst points, suggesting possible operational adjustments. The absence of information on working capital turnover ratio prevents a deeper analysis of asset utilization efficiency over the periods.
Average Inventory Processing Period
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: 2025-03-31), 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 Q1 2025 Calculation
Average inventory processing period = 365 ÷ Inventory turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The inventory turnover ratio and the average inventory processing period present observable trends over the reported periods.
- Inventory Turnover Ratio
- The inventory turnover ratio shows a fluctuating pattern from March 31, 2020, through March 31, 2025. Initially starting at 21.63 in March 2020, the ratio increased to a peak of 30.23 by September 2020, indicating a period of efficient inventory management and faster sales relative to inventory levels. Subsequently, there is a gradual decline reaching a low of 14.5 in December 2022, which may suggest slower inventory movement or increased stock levels. After this trough, the ratio improves again, showing a recovery and increased turnover, reaching 27.18 by September 2024. However, this is followed by another decrease towards 19.01 by March 2025. This volatility indicates changing operational conditions influencing inventory usage and sales effectiveness.
- Average Inventory Processing Period
- The average inventory processing period, expressed in number of days, exhibits an inverse relationship to the inventory turnover ratio. Beginning at 17 days in March 2020, the processing period shortens to as low as 12 days by September 2020, aligning with the peak in turnover ratio, signaling rapid inventory cycling. After this period, the processing duration lengthens, peaking at 25 days in December 2022, concurrent with the lowest turnover ratio and illustrating slower inventory movement. Following this, there is a reduction in processing days, reverting to near initial levels around 16 days by mid-2024. Near the end of the period, the processing time increases slightly again to 19 days in March 2025.
Overall, these metrics indicate that the company’s inventory efficiency is subject to significant fluctuations over the analyzed quarters. Periods of high turnover and low processing days suggest effective inventory management and possibly strong sales, whereas periods with lower turnover and increased processing days hint at potential inventory accumulation or slower sales activity. Such variations merit further investigation into operational strategies, market conditions, and supply chain factors influencing inventory dynamics.
Average Receivable Collection Period
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: 2025-03-31), 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 Q1 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =
2 Click competitor name to see calculations.
The data reveals a notable fluctuation and overall improvement in accounts receivable management over the analyzed periods. Specifically, the receivables turnover ratio, which indicates the efficiency in collecting outstanding credit, demonstrates a general upward trend. Starting from 8.5 in the earliest recorded quarter, the ratio increases to values consistently above 10 in subsequent quarters, peaking at approximately 13.59 during one of the mid-term quarters. This upward trajectory suggests enhanced effectiveness in converting receivables into cash.
Correspondingly, the average receivable collection period, representing the average number of days to collect payment, shows a declining trend over the same timeframe. Beginning at 43 days, the collection period reduces progressively, reaching values as low as 27 days in later quarters. This decline indicates a shorter duration to convert receivables into cash, complementing the trend observed in the receivables turnover ratio.
- Receivables Turnover Ratio Trend
- Starts below 9, rises steadily above 10, and attains peaks around 13, indicating improved cash collection efficiency.
- Average Receivable Collection Period Trend
- Decreases from above 40 days to approximately 27 days, reflecting a reduction in the time customers take to pay.
- Correlation between Metrics
- The inverse relationship between turnover ratio and collection period aligns with expectations, where increased turnover corresponds with shorter collection periods.
- Variability and Stability
- While fluctuations are present quarter-to-quarter, the overall direction signals continual improvement in receivables management.
Operating Cycle
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: 2025-03-31), 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 Q1 2025 Calculation
Operating cycle = Average inventory processing period + Average receivable collection period
= + =
2 Click competitor name to see calculations.
The financial data indicates trends in key operational metrics over multiple quarterly periods.
- Average Inventory Processing Period
- The average inventory processing period shows some volatility across the reported quarters. Starting at 17 days in March 2020, there was a decline reaching a low of 12 days in September 2020. Following this, the period generally increased, peaking at 25 days in December 2022. After this peak, the period gradually decreased back to around 17-19 days in the last few quarters. This fluctuation suggests variability in inventory management efficiency, with a notable increase possibly indicating slower inventory turnover during late 2022, followed by improvements in subsequent periods.
- Average Receivable Collection Period
- The receivable collection period generally trended downward, reflecting improved efficiency in collecting receivables. Starting at 43 days in March 2020, it declined to a low of 27 days in June 2023. Some minor fluctuations occurred, but the overall trajectory points to a reduction in the time taken to collect receivables, which is generally positive for cash flow management.
- Operating Cycle
- The operating cycle, which combines the inventory processing and receivable collection periods, followed a decreasing trend over the observed time frame. Beginning at 60 days in early 2020, it declined to approximately 45 days by mid-2023. Minor oscillations were observed afterward, but it mostly stabilized around 46 days toward the end of the period. This suggests a more efficient overall operating cycle, indicating improvements in both inventory turnover and receivable collection processes.