Stock Analysis on Net

Salesforce Inc. (NYSE:CRM)

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 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
Turnover Ratios
Receivables turnover
Working capital turnover
Average No. Days
Average receivable collection period

Based on: 10-Q (reporting date: 2026-04-30), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 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).


The operating activity ratios exhibit a pronounced cyclical pattern, particularly concerning receivables management, coupled with significant volatility in working capital efficiency. While the core collection cycle remains relatively stable over the long term, periodic spikes suggest seasonal fluctuations in billing or collection processes.

Receivables Turnover and Collection Period
A consistent seasonal dip in receivables turnover is observed every January, with values falling between 2.72 and 3.17. This trend corresponds directly to a spike in the average receivable collection period, which typically peaks between 115 and 134 days during the same period. Outside of these January troughs, turnover generally remains robust, frequently exceeding 7.0, while the collection period typically fluctuates between 41 and 63 days. A gradual improvement in efficiency is evident during non-peak periods, as the collection period decreased from 52 days in April 2021 to 43 days by April 2026.
Working Capital Turnover
Working capital turnover demonstrates extreme variance throughout the period. An aggressive upward trend occurred from April 2021 (4.36) through July 2023, reaching a peak of 99.31, which indicates a period of highly intensified working capital efficiency. However, a corrective trend followed starting in October 2023, with the ratio moderating and stabilizing at lower levels, generally ranging between 14.11 and 42.35 through July 2025. This shift suggests a transition in the company's current asset and liability structure relative to its revenue generation.

Turnover Ratios


Average No. Days



Receivables Turnover

Salesforce Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 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
Selected Financial Data (US$ in millions)
Revenues
Accounts receivable, net
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.
ServiceNow Inc.
Synopsys Inc.
Workday Inc.

Based on: 10-Q (reporting date: 2026-04-30), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 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).

1 Q1 2027 Calculation
Receivables turnover = (RevenuesQ1 2027 + RevenuesQ4 2026 + RevenuesQ3 2026 + RevenuesQ2 2026) ÷ Accounts receivable, net
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The financial data indicates a consistent growth trajectory in quarterly revenues, coupled with a highly cyclical pattern in accounts receivable and the resulting receivables turnover ratio.

Revenue Growth Trajectory
Quarterly revenues exhibit a sustained upward trend, increasing from 5,963 million USD in April 2021 to 11,133 million USD by April 2026. This growth is relatively steady, with an overall increase of approximately 86% over the observed period.
Accounts Receivable Volatility
A recurring seasonal pattern is observed in the accounts receivable, net, which experience significant spikes every January. For example, balances increase from 4,275 million USD in October 2022 to 10,755 million USD in January 2023, and from 4,850 million USD in October 2023 to 11,414 million USD in January 2024. This periodic surge suggests a concentrated accumulation of receivables at the end of the calendar year.
Receivables Turnover Cyclicality
The receivables turnover ratio demonstrates high volatility directly correlated with the January spikes in receivables. The ratio consistently drops to its lowest levels during the January quarters, ranging between 2.72 and 3.17, which indicates a temporary decrease in the velocity of collections. Following these troughs, the ratio recovers sharply, typically peaking in the April quarters. There is an observable trend of improving collection efficiency during these recovery peaks, with the ratio rising from 7.04 in April 2021 to 8.43 in April 2026.
Operational Efficiency Insight
Despite the recurring quarterly fluctuations, the general upward movement of the non-peak turnover ratios suggests a strengthening of the receivables management process over time. The ability to return to higher turnover levels more rapidly after the January peaks indicates an effective mechanism for clearing outstanding balances in the first quarter of each year.


Working Capital Turnover

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

Microsoft Excel
Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 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
Selected Financial Data (US$ in millions)
Current assets
Less: Current liabilities
Working capital
 
Revenues
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
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.
ServiceNow Inc.
Synopsys Inc.
Workday Inc.

Based on: 10-Q (reporting date: 2026-04-30), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 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).

1 Q1 2027 Calculation
Working capital turnover = (RevenuesQ1 2027 + RevenuesQ4 2026 + RevenuesQ3 2026 + RevenuesQ2 2026) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of short-term operating activity reveals a significant divergence between steady revenue growth and high volatility in working capital management, culminating in a structural shift toward a negative working capital position in the final periods.

Revenue Growth Trends
A consistent and sustained increase in revenues is observed throughout the analyzed timeframe. Revenues grew from 5,963 million US dollars in April 2021 to 11,133 million US dollars by April 2026, indicating a strong and steady expansion of business volume.
Working Capital Dynamics
Working capital exhibits extreme instability. Following an initial position of 5,121 million US dollars in April 2021, the figure fluctuated significantly, including a period of relative stability between 333 million and 2,455 million US dollars from April 2023 to July 2024. A sharp downturn occurred in the final quarters, with working capital dropping to -8,896 million US dollars in January 2026 before slightly recovering to -5,889 million US dollars in April 2026.
Working Capital Turnover Interpretation
The working capital turnover ratio shows high sensitivity to the fluctuating capital base. The ratio experienced a dramatic surge between January 2023 and July 2023, peaking at 99.31, which suggests a period where revenues were generated with minimal working capital investment. From January 2024 to July 2025, the ratio stabilized within a range of 14.11 to 42.35. The cessation of ratio reporting in the final three quarters is a direct result of working capital becoming negative, which fundamentally alters the liquidity profile and renders the standard turnover ratio non-calculable or non-meaningful.


Average Receivable Collection Period

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

Microsoft Excel
Apr 30, 2026 Jan 31, 2026 Oct 31, 2025 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
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.
ServiceNow Inc.
Synopsys Inc.
Workday Inc.

Based on: 10-Q (reporting date: 2026-04-30), 10-K (reporting date: 2026-01-31), 10-Q (reporting date: 2025-10-31), 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).

1 Q1 2027 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


An analysis of the receivable collection metrics reveals a highly cyclical pattern characterized by significant seasonal fluctuations. The average receivable collection period demonstrates a consistent recurring peak in the January quarters, contrasted by relative stability and efficiency in the remaining three quarters of each fiscal year.

Seasonal Volatility
A pronounced spike in the average receivable collection period occurs every January. The duration peaks at 134 days in January 2022 and remains consistently elevated above 115 days in all subsequent January reporting periods. This indicates a recurring systemic delay in the conversion of receivables to cash at the close of the calendar year.
Baseline Efficiency and Trends
Outside of the January anomalies, the collection period generally fluctuates between 41 and 63 days. A gradual improvement in baseline efficiency is observable over the long term, as the non-peak troughs have trended downward, reaching a minimum of 41 days in April 2025 and 43 days in April 2026.
Inverse Correlation with Turnover
A strict inverse relationship exists between the receivables turnover ratio and the collection period. The lowest turnover ratios, which typically fall between 2.72 and 3.17 during January quarters, correspond directly with the maximum collection durations. Conversely, the highest turnover ratios, peaking at 8.86 in April 2025, align with the shortest collection periods.
Quarterly Recovery Patterns
The data shows a rapid correction of collection timelines immediately following the January peaks. For example, the collection period decreased from 126 days in January 2026 to 43 days in April 2026. This pattern suggests a cyclical billing or payment structure where year-end accruals are resolved quickly in the first quarter of the following year.