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
Visa Inc. pages available for free this week:
The data is hidden behind: . Unhide it.
- Get full access to the entire website from $10.42/mo, or 
- get 1-month access to Visa Inc. for $22.49. 
This is a one-time payment. There is no automatic renewal.
We accept:
Short-term Activity Ratios (Summary)
Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31).
The analysis of the quarterly financial ratios and related metrics indicates several notable trends over the observed periods.
- Receivables Turnover
- The receivables turnover ratio exhibits significant variability across quarters, ranging mostly between 7 and 17 times. There are periods of sharp increases, such as from December 2019 (7.19) to March 2020 (16.68), followed by fluctuations in subsequent quarters. In general, the ratio tends to recover strongly after drops, indicating periods of improved efficiency in collecting receivables. The overall trend towards the later quarters shows a moderately higher and more stable turnover, suggesting enhanced management of receivables.
- Payables Turnover
- This ratio follows a pattern somewhat similar to receivables turnover, with marked fluctuations through the years. There are peaks, notably around March 2020 (12.78) and September 2020 (12.58), also indicating periods when payables are managed more efficiently or paid off more quickly. However, there are recurring declines, suggesting some variability in payment policies or cash management. Toward the end of the period, decreases in turnover reflect lengthening payables periods or possibly strategic extensions of payment terms.
- Working Capital Turnover
- The working capital turnover ratio shows a mixed pattern with some quarters experiencing sharp increases, for instance around December 2019 (4.96) and March 2020 (6.02), indicating improved utilization of working capital to generate sales. However, this efficiency appears to decline soon after as evidenced by drops to values near 1.5 in early 2021. From mid-2021 onward, there is a general upward trend back to more efficient use of working capital, with peaks in early 2022 (5.00). This pattern suggests fluctuating working capital management effectiveness possibly influenced by seasonal or operational factors.
- Average Receivable Collection Period
- The collection period varies significantly, oscillating between approximately 21 and 54 days. Notably, spikes to longer collection periods occur at the end of 2018 and in late 2017, indicating slower receivable collections at those times. In contrast, there are several quarters with more efficient collections averaging in the 20-30 day range, particularly from 2020 onward. The data implies improvements in credit and collection policies or customer payment behavior in recent periods.
- Average Payables Payment Period
- The payment period for payables shows substantial variation, with values ranging approximately from 29 to 67 days. The longest payment periods tend to occur near the end of calendar years (e.g., December 2018 and December 2019), suggesting strategic extensions of payment periods during these times. In contrast, quarters following those tend to show shortened payment periods, perhaps reflecting cycle or cash flow management. Toward the latter part of the period, payment periods stabilize in the 30-40 day range, reflecting more consistent payment practices.
Overall, the financial metrics reveal cyclical and seasonal patterns typical for cash conversion and working capital management. There are clear indications of strategic adjustments in receivables and payables management, with efficiency improving notably in some recent quarters. However, fluctuations persist, likely influenced by external economic factors and internal operational policies. The consistent shortening of the average receivable collection period and stabilization of the payment period suggest strengthening cash flow control and working capital management over time.
Turnover Ratios
Average No. Days
Receivables Turnover
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Net revenues | |||||||||||||||||||||||||||||
| Settlement receivable | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Receivables turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Receivables Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Adobe Inc. | |||||||||||||||||||||||||||||
| AppLovin Corp. | |||||||||||||||||||||||||||||
| Cadence Design Systems Inc. | |||||||||||||||||||||||||||||
| CrowdStrike Holdings Inc. | |||||||||||||||||||||||||||||
| Datadog Inc. | |||||||||||||||||||||||||||||
| International Business Machines Corp. | |||||||||||||||||||||||||||||
| Intuit Inc. | |||||||||||||||||||||||||||||
| Microsoft Corp. | |||||||||||||||||||||||||||||
| Oracle Corp. | |||||||||||||||||||||||||||||
| Palantir Technologies Inc. | |||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | |||||||||||||||||||||||||||||
| Salesforce Inc. | |||||||||||||||||||||||||||||
| ServiceNow Inc. | |||||||||||||||||||||||||||||
| Synopsys Inc. | |||||||||||||||||||||||||||||
| Workday Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31).
1 Q2 2023 Calculation
                Receivables turnover
                = (Net revenuesQ2 2023
                + Net revenuesQ1 2023
                + Net revenuesQ4 2022
                + Net revenuesQ3 2022)
                ÷ Settlement receivable
                = (                +                 +                 + )
                ÷                 = 
2 Click competitor name to see calculations.
The analysis of the financial data reveals distinct trends and fluctuations across the reported periods. Net revenues exhibit an overall upward trajectory with some intermittent declines. Initially, net revenues increased steadily from approximately 4.86 billion to around 6.05 billion US dollars by the end of 2019. However, a decline occurs in 2020 coinciding with the onset of the global pandemic, with revenues dipping to roughly 4.84 billion mid-year before recovering subsequent quarters, culminating in a significant rise to nearly 7.99 billion by the first quarter of 2023. This suggests a strong recovery and growth in revenue beyond pre-pandemic levels.
The settlement receivable amounts display notable volatility without a clear linear trend. The values alternate sharply between lower and higher figures, for example, moving from about 1.62 billion at the end of 2017 to peaks exceeding 3 billion in 2018 and 2019, before reducing again during 2020. Periods following 2020 show a relatively moderate range between approximately 1.4 billion and 2.1 billion. Such fluctuations imply variability in the timing or magnitude of settlements receivable, possibly influenced by transaction volumes or operational factors.
Receivables turnover ratios demonstrate fluctuating efficiency in collecting receivables over time. The ratio varies widely, with some periods showing low turnover near 6.81 and others reaching above 17. The data indicates an improvement in turnover efficiency generally starting from the pandemic period onward, with several quarters exhibiting ratios above 13, reaching as high as 17.28. This increasing trend in receivables turnover suggests enhanced effectiveness in managing receivables and quicker conversion to cash in more recent periods.
- Net Revenues
- Overall growth trend with pandemic-related decline in 2020 followed by strong post-pandemic recovery and increase through early 2023.
- Settlement Receivable
- Highly volatile pattern with no clear upward or downward trajectory; peaks in late 2018 and 2019, with subsequent stabilization at a moderate level post-2020.
- Receivables Turnover
- Considerable fluctuation across periods; general improvement in receivables management post-2020 as indicated by higher turnover ratios in recent quarters.
Payables Turnover
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Net revenues | |||||||||||||||||||||||||||||
| Settlement payable | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Payables turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Payables Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Accenture PLC | |||||||||||||||||||||||||||||
| Adobe Inc. | |||||||||||||||||||||||||||||
| AppLovin Corp. | |||||||||||||||||||||||||||||
| CrowdStrike Holdings Inc. | |||||||||||||||||||||||||||||
| Datadog Inc. | |||||||||||||||||||||||||||||
| International Business Machines Corp. | |||||||||||||||||||||||||||||
| Intuit Inc. | |||||||||||||||||||||||||||||
| Microsoft Corp. | |||||||||||||||||||||||||||||
| Oracle Corp. | |||||||||||||||||||||||||||||
| Palantir Technologies Inc. | |||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | |||||||||||||||||||||||||||||
| ServiceNow Inc. | |||||||||||||||||||||||||||||
| Workday Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31).
1 Q2 2023 Calculation
                    Payables turnover
                    = (Net revenuesQ2 2023
                    + Net revenuesQ1 2023
                    + Net revenuesQ4 2022
                    + Net revenuesQ3 2022)
                    ÷ Settlement payable
                    = (                    +                     +                     + )
                    ÷                     = 
2 Click competitor name to see calculations.
- Net Revenues
- 
    The net revenues exhibited a general upward trend throughout the observed periods from December 31, 2017, to March 31, 2023. Beginning at approximately 4,862 million USD, revenues increased steadily, with minor fluctuations, reaching nearly 7,985 million USD by the final quarter. Notably, there was a decline observed during the early stages of 2020, coinciding with the global economic disruptions caused by the pandemic, where revenues dropped from 6,054 million USD in December 2019 to 4,837 million USD in June 2020. However, the company demonstrated recovery and growth in subsequent quarters, surpassing pre-pandemic revenue levels and achieving consistent increases in 2021 and 2022. 
- Settlement Payable
- 
    Settlement payables displayed considerable variability across the periods analyzed. Initial values started near 2,302 million USD at year-end 2017, with sharp fluctuations observed during the following quarters. A significant increase occurred in the last quarter of 2018 (3,890 million USD), followed by a downward adjustment in early 2019. Throughout 2019 and 2020, settlement payables fluctuated notably, with lows around 1,736 million USD in the third quarter of 2020 and peaks above 4,000 million USD in late 2019. More recently, from 2021 onward, the settlement payable values stabilized within the range of approximately 2,000 to 3,500 million USD, indicating somewhat steadier operational cash flow obligations or transactional volumes in more recent quarters. 
- Payables Turnover Ratio
- 
    The payables turnover ratio exhibited significant variation, reflecting shifts in the company's efficiency in managing its payables. Early data showed strong turnover ratios exceeding 8, reaching highs such as 12.78 in the first quarter of 2020. There were periods of decline, especially near the end of 2018 when the ratio dropped to 5.46, suggesting slower payments to suppliers or changes in payment policies. Post-2020, the ratio stabilized mostly between 8 and 11, with the latest quarter reporting a ratio of 10.1. This pattern indicates that despite some fluctuations, the company generally maintained an effective cycle of settling payables, with occasional periods of accelerated or decelerated payment activity. 
Working Capital Turnover
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data (US$ in millions) | |||||||||||||||||||||||||||||
| Current assets | |||||||||||||||||||||||||||||
| Less: Current liabilities | |||||||||||||||||||||||||||||
| Working capital | |||||||||||||||||||||||||||||
| Net revenues | |||||||||||||||||||||||||||||
| Short-term Activity Ratio | |||||||||||||||||||||||||||||
| Working capital turnover1 | |||||||||||||||||||||||||||||
| Benchmarks | |||||||||||||||||||||||||||||
| Working Capital Turnover, Competitors2 | |||||||||||||||||||||||||||||
| Accenture PLC | |||||||||||||||||||||||||||||
| Adobe Inc. | |||||||||||||||||||||||||||||
| AppLovin Corp. | |||||||||||||||||||||||||||||
| Cadence Design Systems Inc. | |||||||||||||||||||||||||||||
| CrowdStrike Holdings Inc. | |||||||||||||||||||||||||||||
| Datadog Inc. | |||||||||||||||||||||||||||||
| International Business Machines Corp. | |||||||||||||||||||||||||||||
| Intuit Inc. | |||||||||||||||||||||||||||||
| Microsoft Corp. | |||||||||||||||||||||||||||||
| Oracle Corp. | |||||||||||||||||||||||||||||
| Palantir Technologies Inc. | |||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | |||||||||||||||||||||||||||||
| Salesforce Inc. | |||||||||||||||||||||||||||||
| ServiceNow Inc. | |||||||||||||||||||||||||||||
| Synopsys Inc. | |||||||||||||||||||||||||||||
| Workday Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31).
1 Q2 2023 Calculation
            Working capital turnover
            = (Net revenuesQ2 2023
            + Net revenuesQ1 2023
            + Net revenuesQ4 2022
            + Net revenuesQ3 2022)
            ÷ Working capital
            = (            +             +             + )
            ÷             = 
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals notable fluctuations and trends in working capital, net revenues, and working capital turnover over the observed periods.
- Working Capital
- Working capital exhibits a fluctuating pattern with some distinct periods of decline and recovery. Initially, it declined steadily from the end of 2017 through the end of 2019, reaching a low point near the fourth quarter of 2019. This was followed by a sharp increase during 2020, peaking around the third quarter of 2020. However, after this peak, working capital generally trended downward with intermittent recoveries, notably falling again toward early 2022 before showing some improvement toward the first quarter of 2023.
- Net Revenues
- Net revenues generally display a consistent upward trend across the timeframe. Beginning at approximately 4.86 billion US dollars at the end of 2017, revenues increased steadily through most quarters, with some minor dips observed during early 2020—likely influenced by external market conditions. From mid-2020 onwards, revenues resumed growth and reached their highest levels near the first quarter of 2023, surpassing 7.9 billion US dollars.
- Working Capital Turnover
- The ratio of working capital turnover shows considerable variability over the quarters. It increased significantly from 2017 through the end of 2019, reaching a peak above 6.0 in the first quarter of 2020. This peak coincides with the period where working capital was notably reduced and net revenues remained relatively stable, suggesting heightened efficiency in the use of working capital. Subsequently, turnover declined sharply into 2020, falling below 1.7 by the third quarter of 2020, reflecting the surge in working capital at that time. Thereafter, the turnover ratio recovered somewhat, demonstrating a moderate upward trajectory with some volatility, stabilizing between 3.0 and 3.5 in the recent quarters.
In summary, the data indicate that while the company has managed to grow its revenues steadily, working capital levels have undergone significant changes, which have directly influenced the efficiency of capital use as reflected in the turnover ratio. Periods of high working capital turnover correspond to times of reduced working capital and relatively stable or increasing revenues, highlighting improved operational efficiency in managing short-term assets and liabilities. Conversely, spikes in working capital dampen turnover, indicating accumulation of capital that might not be immediately contributing to revenue generation.
Average Receivable Collection Period
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Receivables turnover | |||||||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
| Average receivable collection period1 | |||||||||||||||||||||||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||
| Average Receivable Collection Period, Competitors2 | |||||||||||||||||||||||||||||
| Adobe Inc. | |||||||||||||||||||||||||||||
| AppLovin Corp. | |||||||||||||||||||||||||||||
| Cadence Design Systems Inc. | |||||||||||||||||||||||||||||
| CrowdStrike Holdings Inc. | |||||||||||||||||||||||||||||
| Datadog Inc. | |||||||||||||||||||||||||||||
| International Business Machines Corp. | |||||||||||||||||||||||||||||
| Intuit Inc. | |||||||||||||||||||||||||||||
| Microsoft Corp. | |||||||||||||||||||||||||||||
| Oracle Corp. | |||||||||||||||||||||||||||||
| Palantir Technologies Inc. | |||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | |||||||||||||||||||||||||||||
| Salesforce Inc. | |||||||||||||||||||||||||||||
| ServiceNow Inc. | |||||||||||||||||||||||||||||
| Synopsys Inc. | |||||||||||||||||||||||||||||
| Workday Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31).
1 Q2 2023 Calculation
                Average receivable collection period = 365 ÷ Receivables turnover
                = 365 ÷  = 
2 Click competitor name to see calculations.
The analysis of the quarterly financial data reveals fluctuating trends in the receivables turnover ratio and the average receivable collection period over the examined periods.
- Receivables Turnover Ratio
- The receivables turnover ratio demonstrates notable volatility. It ranges from a low of 6.81 to a high of 17.28 during the observed timeline. There are frequent alternations between higher and lower values, indicating inconsistency in the company's efficiency in collecting receivables. However, in the most recent periods, specifically from December 2021 onward, the ratio remains relatively stable, fluctuating between approximately 14.19 and 16.51. This suggests a trend toward stabilization in receivables management efficiency.
- Average Receivable Collection Period
- The average collection period, measured in days, inversely reflects the turnover ratio's trend. It experiences significant swings, ranging from a high of 54 days to a low of 21 days. Higher collection days occur concurrently with lower turnover ratios, reflecting longer periods to collect receivables. From late 2020 through 2023, the collection period mostly oscillates within the low twenties, demonstrating improved or stabilized receivable collection practices.
- Relationship Between Metrics
- The inverse relationship between the receivables turnover ratio and the average collection period is consistent throughout the periods analyzed. Periods with high turnover ratios correspond to fewer days for collection, which is favorable for liquidity. Conversely, periods with low turnover coincide with longer collection periods, indicating slower cash conversion cycles.
- Summary of Trends
- Overall, the data suggests initial volatility in the management of receivables followed by signs of stabilization and improved efficiency in later quarters. The receivables turnover shows a pattern of frequent ups and downs without a clear upward or downward trend until recent years, where the ratio stabilizes at a relatively high level. Correspondingly, the average collection period decreases and stabilizes, supporting the observation of enhanced receivables management.
Average Payables Payment Period
| 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 | Dec 31, 2019 | Sep 30, 2019 | Jun 30, 2019 | Mar 31, 2019 | Dec 31, 2018 | Sep 30, 2018 | Jun 30, 2018 | Mar 31, 2018 | Dec 31, 2017 | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Selected Financial Data | |||||||||||||||||||||||||||||
| Payables turnover | |||||||||||||||||||||||||||||
| Short-term Activity Ratio (no. days) | |||||||||||||||||||||||||||||
| Average payables payment period1 | |||||||||||||||||||||||||||||
| Benchmarks (no. days) | |||||||||||||||||||||||||||||
| Average Payables Payment Period, Competitors2 | |||||||||||||||||||||||||||||
| Accenture PLC | |||||||||||||||||||||||||||||
| Adobe Inc. | |||||||||||||||||||||||||||||
| AppLovin Corp. | |||||||||||||||||||||||||||||
| CrowdStrike Holdings Inc. | |||||||||||||||||||||||||||||
| Datadog Inc. | |||||||||||||||||||||||||||||
| International Business Machines Corp. | |||||||||||||||||||||||||||||
| Intuit Inc. | |||||||||||||||||||||||||||||
| Microsoft Corp. | |||||||||||||||||||||||||||||
| Oracle Corp. | |||||||||||||||||||||||||||||
| Palantir Technologies Inc. | |||||||||||||||||||||||||||||
| Palo Alto Networks Inc. | |||||||||||||||||||||||||||||
| ServiceNow Inc. | |||||||||||||||||||||||||||||
| Workday Inc. | |||||||||||||||||||||||||||||
Based on: 10-Q (reporting date: 2023-03-31), 10-Q (reporting date: 2022-12-31), 10-K (reporting date: 2022-09-30), 10-Q (reporting date: 2022-06-30), 10-Q (reporting date: 2022-03-31), 10-Q (reporting date: 2021-12-31), 10-K (reporting date: 2021-09-30), 10-Q (reporting date: 2021-06-30), 10-Q (reporting date: 2021-03-31), 10-Q (reporting date: 2020-12-31), 10-K (reporting date: 2020-09-30), 10-Q (reporting date: 2020-06-30), 10-Q (reporting date: 2020-03-31), 10-Q (reporting date: 2019-12-31), 10-K (reporting date: 2019-09-30), 10-Q (reporting date: 2019-06-30), 10-Q (reporting date: 2019-03-31), 10-Q (reporting date: 2018-12-31), 10-K (reporting date: 2018-09-30), 10-Q (reporting date: 2018-06-30), 10-Q (reporting date: 2018-03-31), 10-Q (reporting date: 2017-12-31).
1 Q2 2023 Calculation
                Average payables payment period = 365 ÷ Payables turnover
                = 365 ÷  = 
2 Click competitor name to see calculations.
The analysis of the payables-related financial metrics over the examined periods reveals notable fluctuations indicative of shifts in the company's payment practices and operational efficiency.
- Payables Turnover Ratio
- The payables turnover ratio exhibits significant variability across the periods. Initially, it starts at 8.15 at the end of 2017, dropping to 6.34 in the first quarter of 2018, then climbing to 9.51 by the third quarter of 2018. A sharp decline to 5.46 occurs at the year's end 2018, followed by a peak of 10.42 in the first quarter of 2019. The ratio continues to oscillate between approximately 5.5 and 12.78 in subsequent quarters, reflecting irregularities in the frequency with which the company settles its payables. The ratio generally stays above 8 in later periods, culminating in 10.1 in the first quarter of 2023. This trend suggests periods of both expedited and delayed payments, possibly in response to liquidity management or strategic supplier negotiations.
- Average Payables Payment Period (Days)
- The average payables payment period inversely mirrors the turnover ratio, as expected. It begins at 45 days at the end of 2017 and escalates to 58 days in early 2018, then decreases to 38 days by the third quarter of 2018. A pronounced increase to 67 days at the end of 2018 signals an extended payment period, coinciding with the lowered turnover ratio. Subsequent periods show improvement with a reduction to around 35 days in early 2019, before fluctuating between roughly 29 and 66 days in later quarters. The shortest payment periods, near 29 days, appear in mid and late 2020, suggesting a phase of quicker payables settlement. The trend oscillates but generally remains around the 35 to 43 days range towards the end of the observed timeline, indicating relatively consistent payment intervals in recent periods.
Overall, the data indicates that the company experienced varied payment pacing across the analyzed intervals, with alternating phases of faster and slower payables turnover. These fluctuations could reflect strategic cash flow management decisions or responses to market and operational conditions impacting payable accounts. The trend toward stabilization in the latter periods hints at a more controlled and possibly optimized approach to managing trade payables.