Stock Analysis on Net

Salesforce Inc. (NYSE:CRM)

Analysis of Short-term (Operating) Activity Ratios 
Quarterly Data

Microsoft Excel

Short-term Activity Ratios (Summary)

Salesforce Inc., short-term (operating) activity ratios (quarterly data)

Microsoft Excel
Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021 Jul 31, 2021 Apr 30, 2021 Jan 31, 2021 Oct 31, 2020 Jul 31, 2020 Apr 30, 2020 Jan 31, 2020 Oct 31, 2019 Jul 31, 2019 Apr 30, 2019
Turnover Ratios
Receivables turnover 7.06 8.86 3.17 7.84 6.76 8.36 3.05 7.00 6.12 6.95 2.92 7.09 6.18 7.07 2.72 6.22 5.78 7.04 2.73 6.12 5.63 5.93 2.77
Working capital turnover 14.11 23.11 21.69 18.14 42.35 14.56 14.27 42.02 99.31 90.67 62.21 30.85 25.15 54.57 24.95 27.10 4.36 5.11 7.48 10.29 9.75 15.29
Average No. Days
Average receivable collection period 52 41 115 47 54 44 120 52 60 53 125 52 59 52 134 59 63 52 134 60 65 62 132

Based on: 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-K (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-K (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-K (reporting date: 2020-01-31), 10-Q (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30).


The analysis of the financial ratios over multiple quarters reveals several noteworthy trends and variations in the company's operational efficiency and liquidity management.

Receivables Turnover Ratio
The receivables turnover ratio demonstrates a recurring cyclical pattern with alternating lower and higher values. Generally, the ratio shifts between approximately 2.7 to over 8.8 across the periods, indicating fluctuating efficiency in collecting receivables. Higher values suggest improved collection efficiency during those quarters, while the lower values, appearing consistently every fourth quarter, indicate a seasonal or periodic slowdown in collections. Overall, there is a slight upward trend in peak turnover values toward the more recent periods, which may reflect enhanced collection practices.
Working Capital Turnover Ratio
This ratio is characterized by pronounced volatility and irregular data points, including some missing values. Initially, from early periods with ratios around 15, there is a noticeable decline into single digits, followed by sporadic sharp spikes reaching as high as nearly 100 in some quarters. Such spikes likely denote substantial fluctuations in working capital relative to sales or other operational metrics, possibly driven by seasonal sales effects, large transactions, or inventory and payable management changes. In recent periods, the ratio shows a general decrease from the extreme highs but remains elevated relative to early figures, suggesting more dynamic working capital usage but with considerable short-term variability.
Average Receivable Collection Period
The average collection period inversely mirrors patterns observed in the receivables turnover. It oscillates between approximately 115 to 134 days during slower collection quarters, typically occurring every few periods, and drops sharply to around 41 to 65 days during faster collection quarters. This consistent periodic fluctuation illustrates a predictable cyclical behavior in how long it takes to collect receivables. A noteworthy gradual decline in the maximum number of days over time suggests incremental improvements in receivables management effectiveness.

In summary, the company's receivables management displays cyclical performance with evident seasonal impacts, while the working capital turnover ratio exhibits high volatility and sharp fluctuations, possibly indicating dynamic operational adjustments or irregularities. The improving trends in receivable collection timing may indicate efforts to strengthen liquidity and efficiency despite ongoing seasonal variation.


Turnover Ratios


Average No. Days


Receivables Turnover

Salesforce Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021 Jul 31, 2021 Apr 30, 2021 Jan 31, 2021 Oct 31, 2020 Jul 31, 2020 Apr 30, 2020 Jan 31, 2020 Oct 31, 2019 Jul 31, 2019 Apr 30, 2019
Selected Financial Data (US$ in millions)
Revenues 10,236 9,829 9,993 9,444 9,325 9,133 9,287 8,720 8,603 8,247 8,384 7,837 7,720 7,411 7,326 6,863 6,340 5,963 5,817 5,419 5,151 4,865 4,851 4,513 3,997 3,737
Accounts receivable, net 5,596 4,354 11,945 4,741 5,391 4,273 11,414 4,850 5,400 4,632 10,755 4,275 4,745 3,952 9,739 4,019 4,074 3,174 7,786 3,316 3,445 3,076 6,174 2,573 2,332 2,153
Short-term Activity Ratio
Receivables turnover1 7.06 8.86 3.17 7.84 6.76 8.36 3.05 7.00 6.12 6.95 2.92 7.09 6.18 7.07 2.72 6.22 5.78 7.04 2.73 6.12 5.63 5.93 2.77
Benchmarks
Receivables Turnover, Competitors2
Adobe Inc. 11.08 13.03 11.17 10.38 11.62 12.67 9.69 8.73 10.20 10.94 9.99 8.53 9.98 10.51 9.58 8.41 9.77 9.74 9.00 9.20 9.44 8.82 8.40
AppLovin Corp. 3.15 3.05 3.33 3.61 3.68 3.50 3.44 3.57 4.30 4.56 4.01 4.37 4.23 4.11 5.43
Cadence Design Systems Inc. 7.59 8.39 6.82 7.76 7.37 10.46 8.36 9.19 8.62 7.54 7.32 8.78 8.38 8.72 8.85 9.09 7.41 7.21 7.93
CrowdStrike Holdings Inc. 4.90 5.11 3.50 4.60 5.32 4.67 3.58 5.07 4.90 5.30 3.58 4.19 4.38 4.43 3.94 4.54 4.27 4.73 3.66 4.41 4.38 3.91 2.92
Datadog Inc. 4.99 5.78 4.48 5.21 4.49 5.01 4.18 5.01 5.70 4.89 4.19 4.39 4.47 4.33 3.83 3.92 4.06 4.35 3.69
International Business Machines Corp. 10.72 10.73 9.22 11.61 10.81 10.27 8.57 11.48 10.67 10.52 9.25 10.95 10.17 9.79 8.49 9.23 9.57 10.72 10.32
Intuit Inc. 35.53 25.12 16.88 38.94 35.63 20.02 16.27 39.65 35.48 19.62 15.15 34.68 28.53 17.44 12.84 25.10 24.64 16.04 16.60 79.16 51.54
Microsoft Corp. 4.03 5.22 5.43 5.76 4.31 5.37 5.31 5.91 4.35 5.55 5.70 6.49 4.48 5.90 5.52 6.44 4.42 6.08 5.61 6.44 4.47
Oracle Corp. 6.67 6.71 6.93 6.72 6.71 6.73 7.20 7.59 7.82 7.22 7.72 7.43 7.44 7.13 9.12 9.28 9.11 7.48 8.56 8.91 8.57 7.04
Palantir Technologies Inc. 4.60 4.30 4.98 3.96 3.76 4.79 6.10 4.94 5.44 7.81 7.38 5.33 6.56 6.42 8.08
Palo Alto Networks Inc. 3.11 4.55 5.73 7.32 3.07 4.54 3.97 5.10 2.80 4.50 4.82 4.70 2.57 4.17 5.10 5.61 3.43 5.20 5.65 5.30 3.29
ServiceNow Inc. 7.11 8.44 4.90 8.00 6.56 7.26 4.41 7.26 7.33 6.87 4.20 7.71 7.74 7.59 4.24 7.13 6.62 7.49 4.48
Synopsys Inc. 4.62 6.21 6.80 6.56 7.56 7.25 5.63 6.17 8.29 6.78 5.00 6.38 7.25 6.58 4.34 7.40 7.06 6.51 4.84 4.72 5.50 5.36 4.22
Workday Inc. 5.57 6.38 4.33 5.81 6.09 6.68 4.43 5.70 5.28 5.94 3.96 5.71 5.13 6.94 4.14 5.66 5.35 6.91 4.18 5.60 5.75 6.54 4.13

Based on: 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-K (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-K (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-K (reporting date: 2020-01-31), 10-Q (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30).

1 Q2 2026 Calculation
Receivables turnover = (RevenuesQ2 2026 + RevenuesQ1 2026 + RevenuesQ4 2025 + RevenuesQ3 2025) ÷ Accounts receivable, net
= (10,236 + 9,829 + 9,993 + 9,444) ÷ 5,596 = 7.06

2 Click competitor name to see calculations.


The quarterly financial data reveals several notable trends and fluctuations, particularly relating to revenues, accounts receivable, and receivables turnover ratios over the analyzed periods.

Revenues
Revenues demonstrated a consistent upward trajectory throughout the quarters, rising from approximately $3.7 billion in April 2019 to just over $10 billion by July 2025. There were no significant declines, indicating steady growth. The increases were generally gradual, with some quarters showing more pronounced jumps, such as between October 2023 and January 2024, where revenues grew notably. This trend suggests an expanding business and possibly successful sales strategies or market growth.
Accounts Receivable, Net
The accounts receivable balance exhibited considerable volatility, with several sharp increases coinciding roughly with quarter-end dates in January each year (e.g., Jan 2020, Jan 2021, Jan 2022, Jan 2023, Jan 2024, Jan 2025). These spikes are substantial, jumping from typical levels around $3–5 billion to amounts ranging between $7.7 billion and $11.9 billion during those specific periods. Following these peaks, the balances decreased significantly in the subsequent quarters. This pattern suggests seasonality in billing or collection cycles, possibly related to year-end accounting practices, customer payment schedules, or contract renewals.
Receivables Turnover Ratio
The receivables turnover ratio also displayed a cyclical pattern. Lower turnover ratios (around 2.7 to 3.2) repeatedly appeared in the quarters corresponding to the spikes in accounts receivable. This inverse relationship reflects that during quarters with elevated receivables balances, collections were slower, or receivables were higher relative to revenues. Conversely, higher turnover values (ranging between 5.6 and 8.9) were observed following these quarters, indicating more efficient collection or lower outstanding receivables relative to revenue. Over the full period, the turnover ratio improved modestly, with the highest observed ratios occurring toward the later quarters. This points to an overall enhancement in receivables management or payment collection efficiency over time despite recurring seasonal fluctuations.

In summary, the financial data indicate a growing revenue base with seasonal fluctuations in accounts receivable and associated receivables turnover cycles. The repeated spikes in accounts receivable at the start of each calendar year may warrant further investigation to understand the underlying operational or contractual drivers. Nevertheless, the improvement in receivables turnover ratios over the years implies improved efficiency in collection processes or better credit management practices.


Working Capital Turnover

Salesforce Inc., working capital turnover calculation (quarterly data)

Microsoft Excel
Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021 Jul 31, 2021 Apr 30, 2021 Jan 31, 2021 Oct 31, 2020 Jul 31, 2020 Apr 30, 2020 Jan 31, 2020 Oct 31, 2019 Jul 31, 2019 Apr 30, 2019
Selected Financial Data (US$ in millions)
Current assets 25,331 25,866 29,727 21,425 21,862 25,604 29,074 20,202 21,138 21,981 26,395 19,209 21,246 20,411 22,850 15,957 16,256 20,444 21,889 14,946 14,846 14,713 15,963 11,026 9,903 10,035
Less: Current liabilities 22,532 24,196 27,980 19,375 21,001 23,149 26,631 19,394 20,805 21,626 25,891 18,227 20,080 19,899 21,788 15,035 17,393 15,323 17,728 12,234 12,963 12,843 14,845 10,474 10,195 10,488
Working capital 2,799 1,670 1,747 2,050 861 2,455 2,443 808 333 355 504 982 1,166 512 1,062 922 (1,137) 5,121 4,161 2,712 1,883 1,870 1,118 552 (292) (453)
 
Revenues 10,236 9,829 9,993 9,444 9,325 9,133 9,287 8,720 8,603 8,247 8,384 7,837 7,720 7,411 7,326 6,863 6,340 5,963 5,817 5,419 5,151 4,865 4,851 4,513 3,997 3,737
Short-term Activity Ratio
Working capital turnover1 14.11 23.11 21.69 18.14 42.35 14.56 14.27 42.02 99.31 90.67 62.21 30.85 25.15 54.57 24.95 27.10 4.36 5.11 7.48 10.29 9.75 15.29
Benchmarks
Working Capital Turnover, Competitors2
Accenture PLC 8.15 7.92 8.22 8.28 34.49 22.48 15.40 11.18 11.93 10.11 13.40 14.81 15.07 13.41 15.55 15.85 12.77 7.71 8.35 7.70 8.71
Adobe Inc. 133.99 13.02 30.25 19.54 13.19 42.33 6.85 9.10 14.68 19.89 20.28 16.36 31.92 57.86 9.09 6.22 7.44 8.67 4.89 5.51 8.11 9.50
AppLovin Corp. 2.63 5.02 3.75 3.91 4.25 4.29 4.89 6.12 2.61 2.03 2.07 2.27 2.49 1.86 1.08
Cadence Design Systems Inc. 1.87 1.81 1.75 1.80 6.28 8.78 10.61 7.00 8.51 7.12 9.92 8.31 5.34 4.07 4.01 4.68 5.45 5.03 3.94
CrowdStrike Holdings Inc. 1.42 1.48 1.49 1.45 1.43 1.52 1.48 1.65 1.45 1.50 1.46 1.47 1.38 1.32 1.25 1.15 1.02 0.95 0.61 1.19 0.92 0.81 0.71
Datadog Inc. 0.92 0.88 0.88 1.26 1.33 0.96 0.98 1.02 1.03 1.06 1.06 1.02 0.95 0.85 0.77 0.68 0.61 0.47 0.42
International Business Machines Corp. 273.18 46.83 37.03 17.08 14.55 31.12 12.14
Intuit Inc. 5.04 4.22 8.78 7.87 7.45 5.15 13.92 11.94 8.13 6.30 15.31 10.83 8.98 5.68 21.87 4.39 3.85 3.40 5.45 1.74 1.73
Microsoft Corp. 5.64 6.36 6.85 7.32 7.12 8.26 8.63 2.64 2.65 2.65 2.68 2.77 2.66 2.52 1.91 1.88 1.76 1.71 1.44 1.37 1.30
Oracle Corp. 113.15 3.50 3.86 3.39 1.70 1.29 1.69 1.58 1.26 1.12
Palantir Technologies Inc. 0.59 0.59 0.58 0.60 0.62 0.63 0.66 0.68 0.71 0.75 0.78 0.81 0.78 0.73 0.70
Palo Alto Networks Inc. 3.52 2.15 1.40
ServiceNow Inc. 15.46 11.33 13.25 11.50 11.73 27.96 21.77 19.04 9.59 7.83 11.16 6.63 11.21 10.61 21.76 11.15 16.31 5.62 5.76
Synopsys Inc. 2.99 0.43 1.53 1.60 2.35 2.82 7.85 13.12 10.27 12.83 17.05 21.34 14.02 7.78 9.47 10.65 9.50 9.18 16.88 9.00 27.06
Workday Inc. 1.64 1.69 1.69 1.75 1.68 1.70 1.49 1.54 1.60 1.69 1.79 1.83 1.93 2.03 35.15 11.69 24.99 8.31 12.50 3.44 5.62 28.97

Based on: 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-K (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-K (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-K (reporting date: 2020-01-31), 10-Q (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30).

1 Q2 2026 Calculation
Working capital turnover = (RevenuesQ2 2026 + RevenuesQ1 2026 + RevenuesQ4 2025 + RevenuesQ3 2025) ÷ Working capital
= (10,236 + 9,829 + 9,993 + 9,444) ÷ 2,799 = 14.11

2 Click competitor name to see calculations.


Working Capital
The working capital demonstrates significant fluctuations over the analyzed period. Initially, it transitions from negative values at the start (e.g., -453 million USD in April 2019 and -292 million USD in July 2019) to positive values by October 2019 (552 million USD). There is a steady increase reaching a peak around January 2021 with 5121 million USD. Following this peak, a sharp decline is observed in July 2021, where the figure turns negative again (-1137 million USD), before recovering and stabilizing around lower positive values in subsequent quarters. Towards the most recent periods, working capital shows moderate volatility but generally remains positive, with figures mostly ranging between approximately 333 million USD and 2799 million USD, indicating periods of varying liquidity conditions.
Revenues
Revenues display a consistent upward trajectory throughout the entire timeframe, reflecting ongoing growth. Starting from 3737 million USD in April 2019, there is a strong and steady quarter-over-quarter increase with minor fluctuations. Notable revenue milestones include surpassing 5000 million USD in mid-2020 and reaching above 9000 million USD from early 2023 onward, culminating at 10236 million USD in October 2025. This steady growth trend suggests continuous expansion and potentially increasing market demand or successful business operations over the period analyzed.
Working Capital Turnover
The working capital turnover ratio shows a highly erratic pattern with large peaks and troughs, reflecting variability in operational efficiency relative to working capital. Early data points are missing; from January 2020 onwards, the ratio exhibits high values such as 15.29 and 9.75, dropping to lower numbers around 4.36. Significant spikes occur in some quarters such as 54.57, 62.21, and even reaching 99.31, indicating periods when revenue generation was markedly efficient against the working capital base. However, these spikes are interspersed with sharp decreases (e.g., down to 14.27 or 18.14), suggesting inconsistent turnover performance. This volatility points to fluctuating management of working capital in relation to revenues, possibly driven by changes in operating cycles, inventory management, or accounts receivable/payable practices.
Overall Insights
The data reveal a pattern of strong revenue growth alongside notable working capital fluctuations. The sharp changes in working capital, especially the switch from positive to negative and back, may indicate shifts in current asset and liability management. The inconsistent working capital turnover ratios imply challenges in maintaining steady efficiency in utilizing working capital to generate revenues. Nonetheless, the ongoing revenue increase suggests underlying business strength and growth potential, despite the operating capital management variability observed.

Average Receivable Collection Period

Salesforce Inc., average receivable collection period calculation (quarterly data)

Microsoft Excel
Jul 31, 2025 Apr 30, 2025 Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Oct 31, 2023 Jul 31, 2023 Apr 30, 2023 Jan 31, 2023 Oct 31, 2022 Jul 31, 2022 Apr 30, 2022 Jan 31, 2022 Oct 31, 2021 Jul 31, 2021 Apr 30, 2021 Jan 31, 2021 Oct 31, 2020 Jul 31, 2020 Apr 30, 2020 Jan 31, 2020 Oct 31, 2019 Jul 31, 2019 Apr 30, 2019
Selected Financial Data
Receivables turnover 7.06 8.86 3.17 7.84 6.76 8.36 3.05 7.00 6.12 6.95 2.92 7.09 6.18 7.07 2.72 6.22 5.78 7.04 2.73 6.12 5.63 5.93 2.77
Short-term Activity Ratio (no. days)
Average receivable collection period1 52 41 115 47 54 44 120 52 60 53 125 52 59 52 134 59 63 52 134 60 65 62 132
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Adobe Inc. 33 28 33 35 31 29 38 42 36 33 37 43 37 35 38 43 37 37 41 40 39 41 43
AppLovin Corp. 116 120 110 101 99 104 106 102 85 80 91 84 86 89 67
Cadence Design Systems Inc. 48 43 54 47 50 35 44 40 42 48 50 42 44 42 41 40 49 51 46
CrowdStrike Holdings Inc. 75 71 104 79 69 78 102 72 75 69 102 87 83 82 93 80 85 77 100 83 83 93 125
Datadog Inc. 73 63 81 70 81 73 87 73 64 75 87 83 82 84 95 93 90 84 99
International Business Machines Corp. 34 34 40 31 34 36 43 32 34 35 39 33 36 37 43 40 38 34 35
Intuit Inc. 10 15 22 9 10 18 22 9 10 19 24 11 13 21 28 15 15 23 22 5 7
Microsoft Corp. 91 70 67 63 85 68 69 62 84 66 64 56 81 62 66 57 83 60 65 57 82
Oracle Corp. 55 54 53 54 54 54 51 48 47 51 47 49 49 51 40 39 40 49 43 41 43 52
Palantir Technologies Inc. 79 85 73 92 97 76 60 74 67 47 49 68 56 57 45
Palo Alto Networks Inc. 117 80 64 50 119 80 92 72 130 81 76 78 142 88 72 65 106 70 65 69 111
ServiceNow Inc. 51 43 74 46 56 50 83 50 50 53 87 47 47 48 86 51 55 49 82
Synopsys Inc. 79 59 54 56 48 50 65 59 44 54 73 57 50 55 84 49 52 56 75 77 66 68 86
Workday Inc. 66 57 84 63 60 55 82 64 69 61 92 64 71 53 88 65 68 53 87 65 63 56 88

Based on: 10-Q (reporting date: 2025-07-31), 10-Q (reporting date: 2025-04-30), 10-K (reporting date: 2025-01-31), 10-Q (reporting date: 2024-10-31), 10-Q (reporting date: 2024-07-31), 10-Q (reporting date: 2024-04-30), 10-K (reporting date: 2024-01-31), 10-Q (reporting date: 2023-10-31), 10-Q (reporting date: 2023-07-31), 10-Q (reporting date: 2023-04-30), 10-K (reporting date: 2023-01-31), 10-Q (reporting date: 2022-10-31), 10-Q (reporting date: 2022-07-31), 10-Q (reporting date: 2022-04-30), 10-K (reporting date: 2022-01-31), 10-Q (reporting date: 2021-10-31), 10-Q (reporting date: 2021-07-31), 10-Q (reporting date: 2021-04-30), 10-K (reporting date: 2021-01-31), 10-Q (reporting date: 2020-10-31), 10-Q (reporting date: 2020-07-31), 10-Q (reporting date: 2020-04-30), 10-K (reporting date: 2020-01-31), 10-Q (reporting date: 2019-10-31), 10-Q (reporting date: 2019-07-31), 10-Q (reporting date: 2019-04-30).

1 Q2 2026 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ 7.06 = 52

2 Click competitor name to see calculations.


The analysis of the quarterly receivables turnover ratio and average receivable collection period reveals notable cyclicality and an overall improvement in receivables management over the reported periods.

Receivables Turnover Ratio
The receivables turnover ratio exhibits a distinctive cyclical pattern characterized by alternating lower and higher values each quarter. Lower ratios around 2.7 to 3.2 typically correspond to the first quarter of each fiscal year, while the following quarters show markedly higher turnover ratios ranging generally between 5.5 and 8.9. Over the multiple-year span, a gradual upward trend in the peak turnover ratios can be observed, with values increasing from approximately 5.9 in mid-2019 to above 8.8 by mid-2025. This suggests an improvement in the efficiency of credit collections during peak periods.
Average Receivable Collection Period
The average receivable collection period complements the turnover ratio pattern, displaying an inverse relationship, as expected. The collection period is significantly longer in the initial quarter of each year, fluctuating around 115 to 135 days, and notably shorter in subsequent quarters, generally between 40 and 65 days. Over time, the length of the peak collection periods in the first quarter exhibits a gradual decrease, moving from about 134 days in early 2020 and 2021 to roughly 115 days by 2025. Simultaneously, the minimum collection periods in other quarters also show slight improvements, decreasing from around 62 days to an average in the low 40s by the end of the dataset.
Insight into Operational Efficiency
The recurring seasonal trend likely reflects business cycle factors influencing receivables, such as quarter-end adjustments or cyclical sales patterns. Despite these regular fluctuations, the general improvement in turnover ratios and reduction in collection periods indicate strengthened credit control and faster cash conversion over the years. The company appears to have enhanced its receivable collection processes, reducing exposure to overdue accounts and improving liquidity.