Stock Analysis on Net

Adobe Inc. (NASDAQ:ADBE)

$24.99

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

Microsoft Excel

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Short-term Activity Ratios (Summary)

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

Microsoft Excel
May 30, 2025 Feb 28, 2025 Nov 29, 2024 Aug 30, 2024 May 31, 2024 Mar 1, 2024 Dec 1, 2023 Sep 1, 2023 Jun 2, 2023 Mar 3, 2023 Dec 2, 2022 Sep 2, 2022 Jun 3, 2022 Mar 4, 2022 Dec 3, 2021 Sep 3, 2021 Jun 4, 2021 Mar 5, 2021 Nov 27, 2020 Aug 28, 2020 May 29, 2020 Feb 28, 2020 Nov 29, 2019 Aug 30, 2019 May 31, 2019 Mar 1, 2019
Turnover Ratios
Receivables turnover
Payables turnover
Working capital turnover
Average No. Days
Average receivable collection period
Average payables payment period

Based on: 10-Q (reporting date: 2025-05-30), 10-Q (reporting date: 2025-02-28), 10-K (reporting date: 2024-11-29), 10-Q (reporting date: 2024-08-30), 10-Q (reporting date: 2024-05-31), 10-Q (reporting date: 2024-03-01), 10-K (reporting date: 2023-12-01), 10-Q (reporting date: 2023-09-01), 10-Q (reporting date: 2023-06-02), 10-Q (reporting date: 2023-03-03), 10-K (reporting date: 2022-12-02), 10-Q (reporting date: 2022-09-02), 10-Q (reporting date: 2022-06-03), 10-Q (reporting date: 2022-03-04), 10-K (reporting date: 2021-12-03), 10-Q (reporting date: 2021-09-03), 10-Q (reporting date: 2021-06-04), 10-Q (reporting date: 2021-03-05), 10-K (reporting date: 2020-11-27), 10-Q (reporting date: 2020-08-28), 10-Q (reporting date: 2020-05-29), 10-Q (reporting date: 2020-02-28), 10-K (reporting date: 2019-11-29), 10-Q (reporting date: 2019-08-30), 10-Q (reporting date: 2019-05-31), 10-Q (reporting date: 2019-03-01).


The analysis of the quarterly financial ratios reveals several notable trends and patterns over the observed periods.

Receivables Turnover
The receivables turnover ratio exhibits an overall increasing trend from 7.28 to 13.03, indicating improved efficiency in collecting receivables over time. The ratio generally oscillates, with some fluctuations, but the longer-term pattern points to a strengthening in the speed of accounts receivable collections, signifying enhanced liquidity and credit management.
Payables Turnover
Payables turnover shows more variability between periods, ranging approximately between 5.4 and 7.98. The ratio generally remains within this band without a clear sustained upward or downward trajectory. This suggests relatively stable payment behavior towards suppliers with occasional fluctuations that might be due to operational or policy changes.
Working Capital Turnover
This ratio demonstrates considerable volatility, with values ranging widely from about 4.89 up to an exceptional peak of 57.86 in one quarter. After this peak, the ratio declines but remains more variable than other metrics. The spikes may represent extraordinary changes in working capital management or unusual operational circumstances, while the lower but stable values indicate routine turnover efficiency.
Average Receivable Collection Period
The average collection period improved over time, decreasing from around 50 days to approximately 28 days. This trend complements the rising receivables turnover ratio, indicating faster conversion of receivables into cash and a strengthening of credit and collection policies. Shorter collection periods generally support better cash flow positions.
Average Payables Payment Period
The average payables payment period fluctuates modestly between approximately 46 to 68 days without a clearly defined directional trend. This suggests steady supplier payment practices, with the company balancing between taking advantage of trade credit and maintaining good supplier relations.

In summary, receivables management shows a marked improvement with faster collections and higher turnover ratios, positively impacting liquidity. Payables management remains stable with moderate fluctuations in payment periods. The working capital turnover ratio's volatility suggests episodic changes in operational efficiency or capital management strategies that merit further investigation for underlying causes. Overall, the financial data indicate improving asset utilization and stable liability management.


Turnover Ratios


Average No. Days


Receivables Turnover

Adobe Inc., receivables turnover calculation (quarterly data)

Microsoft Excel
May 30, 2025 Feb 28, 2025 Nov 29, 2024 Aug 30, 2024 May 31, 2024 Mar 1, 2024 Dec 1, 2023 Sep 1, 2023 Jun 2, 2023 Mar 3, 2023 Dec 2, 2022 Sep 2, 2022 Jun 3, 2022 Mar 4, 2022 Dec 3, 2021 Sep 3, 2021 Jun 4, 2021 Mar 5, 2021 Nov 27, 2020 Aug 28, 2020 May 29, 2020 Feb 28, 2020 Nov 29, 2019 Aug 30, 2019 May 31, 2019 Mar 1, 2019
Selected Financial Data (US$ in millions)
Revenue
Trade receivables, net of allowances for doubtful accounts
Short-term Activity Ratio
Receivables turnover1
Benchmarks
Receivables Turnover, Competitors2
Cadence Design Systems Inc.
CrowdStrike Holdings Inc.
Fair Isaac Corp.
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: 2025-05-30), 10-Q (reporting date: 2025-02-28), 10-K (reporting date: 2024-11-29), 10-Q (reporting date: 2024-08-30), 10-Q (reporting date: 2024-05-31), 10-Q (reporting date: 2024-03-01), 10-K (reporting date: 2023-12-01), 10-Q (reporting date: 2023-09-01), 10-Q (reporting date: 2023-06-02), 10-Q (reporting date: 2023-03-03), 10-K (reporting date: 2022-12-02), 10-Q (reporting date: 2022-09-02), 10-Q (reporting date: 2022-06-03), 10-Q (reporting date: 2022-03-04), 10-K (reporting date: 2021-12-03), 10-Q (reporting date: 2021-09-03), 10-Q (reporting date: 2021-06-04), 10-Q (reporting date: 2021-03-05), 10-K (reporting date: 2020-11-27), 10-Q (reporting date: 2020-08-28), 10-Q (reporting date: 2020-05-29), 10-Q (reporting date: 2020-02-28), 10-K (reporting date: 2019-11-29), 10-Q (reporting date: 2019-08-30), 10-Q (reporting date: 2019-05-31), 10-Q (reporting date: 2019-03-01).

1 Q2 2025 Calculation
Receivables turnover = (RevenueQ2 2025 + RevenueQ1 2025 + RevenueQ4 2024 + RevenueQ3 2024) ÷ Trade receivables, net of allowances for doubtful accounts
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The analysis of the quarterly financial data reveals several notable trends and patterns over the observed periods.

Revenue
Revenue shows a consistent upward trajectory throughout the periods, increasing from 2,601 million US dollars in early 2019 to 5,873 million US dollars by mid-2025. This represents a steady and significant growth that continues uninterrupted over the years. Seasonal fluctuations are not prominently visible, indicating a stable expansion in sales or service income. The growth between consecutive quarters varies, but the overall tendency is positive, suggesting effective business scaling or market expansion.
Trade Receivables, Net of Allowances
Trade receivables exhibit fluctuations over time but generally follow an increasing trend from approximately 1,342 million US dollars in early 2019 to a peak above 2,224 million US dollars in early 2024 before experiencing some volatility. There are intervals of both increases and declines, reflecting changes in credit policies, customer payment behavior, or sales mix. Notably, despite revenue growth, trade receivables do not always move proportionally higher, indicating some management of collection efficiency or changes in terms of sale.
Receivables Turnover Ratio
The receivables turnover ratio fluctuates across the quarters but mostly remains within a moderate to high range, generally oscillating between 7 and 13 times per annum. This ratio indicates the frequency at which receivables are collected during the year. Peaks in turnover ratio suggest periods of faster collection of receivables, potentially resulting from improved credit control or more favorable customer credit terms. Conversely, troughs may imply slower collections or extended credit periods. Of particular note are some distinct increases towards the later periods, signifying enhanced efficiency in receivables management during that time frame.

Payables Turnover

Adobe Inc., payables turnover calculation (quarterly data)

Microsoft Excel
May 30, 2025 Feb 28, 2025 Nov 29, 2024 Aug 30, 2024 May 31, 2024 Mar 1, 2024 Dec 1, 2023 Sep 1, 2023 Jun 2, 2023 Mar 3, 2023 Dec 2, 2022 Sep 2, 2022 Jun 3, 2022 Mar 4, 2022 Dec 3, 2021 Sep 3, 2021 Jun 4, 2021 Mar 5, 2021 Nov 27, 2020 Aug 28, 2020 May 29, 2020 Feb 28, 2020 Nov 29, 2019 Aug 30, 2019 May 31, 2019 Mar 1, 2019
Selected Financial Data (US$ in millions)
Cost of revenue
Trade payables
Short-term Activity Ratio
Payables turnover1
Benchmarks
Payables Turnover, Competitors2
Accenture PLC
CrowdStrike Holdings Inc.
Fair Isaac Corp.
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: 2025-05-30), 10-Q (reporting date: 2025-02-28), 10-K (reporting date: 2024-11-29), 10-Q (reporting date: 2024-08-30), 10-Q (reporting date: 2024-05-31), 10-Q (reporting date: 2024-03-01), 10-K (reporting date: 2023-12-01), 10-Q (reporting date: 2023-09-01), 10-Q (reporting date: 2023-06-02), 10-Q (reporting date: 2023-03-03), 10-K (reporting date: 2022-12-02), 10-Q (reporting date: 2022-09-02), 10-Q (reporting date: 2022-06-03), 10-Q (reporting date: 2022-03-04), 10-K (reporting date: 2021-12-03), 10-Q (reporting date: 2021-09-03), 10-Q (reporting date: 2021-06-04), 10-Q (reporting date: 2021-03-05), 10-K (reporting date: 2020-11-27), 10-Q (reporting date: 2020-08-28), 10-Q (reporting date: 2020-05-29), 10-Q (reporting date: 2020-02-28), 10-K (reporting date: 2019-11-29), 10-Q (reporting date: 2019-08-30), 10-Q (reporting date: 2019-05-31), 10-Q (reporting date: 2019-03-01).

1 Q2 2025 Calculation
Payables turnover = (Cost of revenueQ2 2025 + Cost of revenueQ1 2025 + Cost of revenueQ4 2024 + Cost of revenueQ3 2024) ÷ Trade payables
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


The data reveals notable fluctuations in key financial metrics over the analyzed periods. Specifically, the cost of revenue experienced a general upward trend, indicating increasing expenses related to delivering goods or services.

Cost of Revenue
Starting at $397 million in March 2019, this figure saw a consistent rise with minor variations, reaching as high as $638 million by May 2025. The increase suggests expanding operations or rising costs associated with production or service delivery.
Trade Payables
The trade payables showed variability over time without a clear linear trend. Beginning at $145 million in March 2019, the balance increased to peaks such as $379 million in December 2022 and $366 million in June 2022, but also experienced declines, ending at $360 million in May 2025. This volatility may reflect shifting supplier credit terms, changing purchasing strategies, or timing differences in payments.
Payables Turnover Ratio
The payables turnover ratio displayed noteworthy fluctuations, ranging between approximately 5.4 and 7.92. This ratio measures the number of times payables are settled in a period and its variability suggests changing efficiency in managing payables. Periods with higher ratios indicate quicker payment cycles, while lower ratios imply slower payment. For example, the ratio rose to 7.92 in June 2023, reflecting faster payments, whereas it dipped close to 5.4 in December 2021, indicating slower turnarounds.

Overall, the steady increase in cost of revenue aligns with rising operational scale or cost inputs. The fluctuating trade payables and payables turnover ratio emphasize varying supplier relationship management and cash cycle dynamics. Monitoring these trends could guide decisions on working capital optimization and cost management strategies.


Working Capital Turnover

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

Microsoft Excel
May 30, 2025 Feb 28, 2025 Nov 29, 2024 Aug 30, 2024 May 31, 2024 Mar 1, 2024 Dec 1, 2023 Sep 1, 2023 Jun 2, 2023 Mar 3, 2023 Dec 2, 2022 Sep 2, 2022 Jun 3, 2022 Mar 4, 2022 Dec 3, 2021 Sep 3, 2021 Jun 4, 2021 Mar 5, 2021 Nov 27, 2020 Aug 28, 2020 May 29, 2020 Feb 28, 2020 Nov 29, 2019 Aug 30, 2019 May 31, 2019 Mar 1, 2019
Selected Financial Data (US$ in millions)
Current assets
Less: Current liabilities
Working capital
 
Revenue
Short-term Activity Ratio
Working capital turnover1
Benchmarks
Working Capital Turnover, Competitors2
Accenture PLC
Cadence Design Systems Inc.
CrowdStrike Holdings Inc.
Fair Isaac Corp.
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: 2025-05-30), 10-Q (reporting date: 2025-02-28), 10-K (reporting date: 2024-11-29), 10-Q (reporting date: 2024-08-30), 10-Q (reporting date: 2024-05-31), 10-Q (reporting date: 2024-03-01), 10-K (reporting date: 2023-12-01), 10-Q (reporting date: 2023-09-01), 10-Q (reporting date: 2023-06-02), 10-Q (reporting date: 2023-03-03), 10-K (reporting date: 2022-12-02), 10-Q (reporting date: 2022-09-02), 10-Q (reporting date: 2022-06-03), 10-Q (reporting date: 2022-03-04), 10-K (reporting date: 2021-12-03), 10-Q (reporting date: 2021-09-03), 10-Q (reporting date: 2021-06-04), 10-Q (reporting date: 2021-03-05), 10-K (reporting date: 2020-11-27), 10-Q (reporting date: 2020-08-28), 10-Q (reporting date: 2020-05-29), 10-Q (reporting date: 2020-02-28), 10-K (reporting date: 2019-11-29), 10-Q (reporting date: 2019-08-30), 10-Q (reporting date: 2019-05-31), 10-Q (reporting date: 2019-03-01).

1 Q2 2025 Calculation
Working capital turnover = (RevenueQ2 2025 + RevenueQ1 2025 + RevenueQ4 2024 + RevenueQ3 2024) ÷ Working capital
= ( + + + ) ÷ =

2 Click competitor name to see calculations.


An analysis of the quarterly financial data reveals several notable trends and patterns over the observed periods.

Working Capital
The working capital values exhibited significant fluctuations throughout the periods. Initially, the company faced negative working capital from March 2019 to November 2019, reaching a low of -2344 million US dollars in May 2019. A sharp reversal is observed starting February 2020, with working capital turning positive and steadily increasing to a peak of 2833 million in December 2023. However, after this peak, there is a considerable decline to 471 million by March 2024, followed by further volatility and a drop to -61 million by May 2025. The fluctuations indicate varying liquidity and operational changes impacting short-term financial health.
Revenue
Revenue demonstrated a consistent upward trend over the timeline. The value rose from 2601 million US dollars in March 2019 to 5873 million US dollars by May 2025. Although some minor quarter-to-quarter variations exist, the overall pattern reflects steady growth in sales or service income, signaling expanding business operations and market presence.
Working Capital Turnover Ratio
The working capital turnover ratio appears inconsistent, with some periods lacking data. From May 2020 onwards, available data reveal substantial variability. Ratios ranged from relatively low values around 4.89 to extremely high points such as 57.86 in March 2022 and 42.33 in March 2024, followed by additional spikes and oscillations. Such variability may indicate fluctuations in how efficiently the company utilized its working capital to generate revenue, potentially influenced by changes in operational cycles, inventory management, or accounts receivables and payables.

In sum, the data suggest a business experiencing growth in revenue while facing volatile working capital management challenges. The interplay of increasing revenue and fluctuating working capital and its turnover ratio indicates periods of both efficient and strained liquidity management. Careful attention to optimizing working capital utilization could further enhance financial stability and operational performance.


Average Receivable Collection Period

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

Microsoft Excel
May 30, 2025 Feb 28, 2025 Nov 29, 2024 Aug 30, 2024 May 31, 2024 Mar 1, 2024 Dec 1, 2023 Sep 1, 2023 Jun 2, 2023 Mar 3, 2023 Dec 2, 2022 Sep 2, 2022 Jun 3, 2022 Mar 4, 2022 Dec 3, 2021 Sep 3, 2021 Jun 4, 2021 Mar 5, 2021 Nov 27, 2020 Aug 28, 2020 May 29, 2020 Feb 28, 2020 Nov 29, 2019 Aug 30, 2019 May 31, 2019 Mar 1, 2019
Selected Financial Data
Receivables turnover
Short-term Activity Ratio (no. days)
Average receivable collection period1
Benchmarks (no. days)
Average Receivable Collection Period, Competitors2
Cadence Design Systems Inc.
CrowdStrike Holdings Inc.
Fair Isaac Corp.
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: 2025-05-30), 10-Q (reporting date: 2025-02-28), 10-K (reporting date: 2024-11-29), 10-Q (reporting date: 2024-08-30), 10-Q (reporting date: 2024-05-31), 10-Q (reporting date: 2024-03-01), 10-K (reporting date: 2023-12-01), 10-Q (reporting date: 2023-09-01), 10-Q (reporting date: 2023-06-02), 10-Q (reporting date: 2023-03-03), 10-K (reporting date: 2022-12-02), 10-Q (reporting date: 2022-09-02), 10-Q (reporting date: 2022-06-03), 10-Q (reporting date: 2022-03-04), 10-K (reporting date: 2021-12-03), 10-Q (reporting date: 2021-09-03), 10-Q (reporting date: 2021-06-04), 10-Q (reporting date: 2021-03-05), 10-K (reporting date: 2020-11-27), 10-Q (reporting date: 2020-08-28), 10-Q (reporting date: 2020-05-29), 10-Q (reporting date: 2020-02-28), 10-K (reporting date: 2019-11-29), 10-Q (reporting date: 2019-08-30), 10-Q (reporting date: 2019-05-31), 10-Q (reporting date: 2019-03-01).

1 Q2 2025 Calculation
Average receivable collection period = 365 ÷ Receivables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of the receivables turnover ratio indicates an overall increasing trend from early 2020 through mid-2025. Starting at 7.28 in February 2020, the ratio rose steadily to reach peaks above 12 in mid-2024. Minor fluctuations occurred, but the general direction points toward improved efficiency in collecting receivables over time.

Correspondingly, the average receivable collection period, measured in days, shows a declining trend during the same period. Beginning around 50 days in early 2020, the collection period gradually shortened, reaching a low near 28 days by mid-2025. This decrease reflects faster collection cycles, suggesting enhanced operational effectiveness and possibly improved credit management policies.

Receivables Turnover
The ratio demonstrates consistent improvement from 7.28 to values exceeding 12, highlighting increased turnover rates. This implies that receivables are converted into cash more frequently as time progresses, which positively impacts liquidity.
Average Receivable Collection Period
The collection period shortened from approximately 50 days to below 30 days. This trend reinforces the observation that the company is accelerating its cash inflows from outstanding receivables, reducing the average time customers take to settle their debts.

The inverse relationship between the receivables turnover and the collection period is evident, aligning with financial theory that higher turnover corresponds to shorter collection times. Overall, the data suggest progressive strengthening in the efficiency of receivables management, likely contributing positively to working capital management and cash flow stability over the examined intervals.


Average Payables Payment Period

Adobe Inc., average payables payment period calculation (quarterly data)

Microsoft Excel
May 30, 2025 Feb 28, 2025 Nov 29, 2024 Aug 30, 2024 May 31, 2024 Mar 1, 2024 Dec 1, 2023 Sep 1, 2023 Jun 2, 2023 Mar 3, 2023 Dec 2, 2022 Sep 2, 2022 Jun 3, 2022 Mar 4, 2022 Dec 3, 2021 Sep 3, 2021 Jun 4, 2021 Mar 5, 2021 Nov 27, 2020 Aug 28, 2020 May 29, 2020 Feb 28, 2020 Nov 29, 2019 Aug 30, 2019 May 31, 2019 Mar 1, 2019
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
CrowdStrike Holdings Inc.
Fair Isaac Corp.
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: 2025-05-30), 10-Q (reporting date: 2025-02-28), 10-K (reporting date: 2024-11-29), 10-Q (reporting date: 2024-08-30), 10-Q (reporting date: 2024-05-31), 10-Q (reporting date: 2024-03-01), 10-K (reporting date: 2023-12-01), 10-Q (reporting date: 2023-09-01), 10-Q (reporting date: 2023-06-02), 10-Q (reporting date: 2023-03-03), 10-K (reporting date: 2022-12-02), 10-Q (reporting date: 2022-09-02), 10-Q (reporting date: 2022-06-03), 10-Q (reporting date: 2022-03-04), 10-K (reporting date: 2021-12-03), 10-Q (reporting date: 2021-09-03), 10-Q (reporting date: 2021-06-04), 10-Q (reporting date: 2021-03-05), 10-K (reporting date: 2020-11-27), 10-Q (reporting date: 2020-08-28), 10-Q (reporting date: 2020-05-29), 10-Q (reporting date: 2020-02-28), 10-K (reporting date: 2019-11-29), 10-Q (reporting date: 2019-08-30), 10-Q (reporting date: 2019-05-31), 10-Q (reporting date: 2019-03-01).

1 Q2 2025 Calculation
Average payables payment period = 365 ÷ Payables turnover
= 365 ÷ =

2 Click competitor name to see calculations.


The analysis of payables turnover and average payables payment period over the reported quarters reveals several notable trends and fluctuations.

Payables Turnover Ratio
The payables turnover ratio shows variability across the quarters. Initially, values start around 7.98 and then decline to a low point of approximately 5.4 - 5.6 in late 2020 and early 2021. Subsequently, the turnover ratio generally increases, reaching highs above 7.9 in early 2024. The ratio fluctuates between roughly 5.5 and 7.9 in the observed periods, indicating changes in the rate at which payables are settled.
Average Payables Payment Period (Days)
This metric inversely corresponds with payables turnover. Initially, the payment period increases from approximately 46 days to about 68 days by late 2020. Following that peak, it trends downward, dropping near 49 days in late 2023. The payment period fluctuates between 46 and 68 days, with a general tendency to lengthen until late 2020, then shorten progressively through subsequent quarters.
Interrelation and Implications
The inverse trends between payables turnover and average payment period suggest that when the turnover ratio decreases, the company takes longer to settle payables, and vice versa. The increase in payment days through 2020 may reflect extended payment terms or cash management adjustments possibly due to external factors during that period. The subsequent improvement in turnover and reduction in days payable indicate a return towards faster settlement cycles. Overall, the company appears to modulate its payables management over time, balancing cash retention with supplier payments.