Workday (WDAY) Change in Accured Expenses (2012 - 2026)
Workday (WDAY) recorded Change in Accured Expenses of $98 million in fiscal Q4 2026 (quarter ended Jan 31, 2026), up 3.2% from $95 million a year earlier.
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Analysis
Workday (WDAY) Change in Accured Expenses (2012 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Workday reported Change in Accured Expenses of -$26 million.
- Across earlier fiscal years, Change in Accured Expenses came in at -$41 million in FY2025, -$95 million in FY2024, $136 million in FY2023 (+166.7%) and $51 million in FY2022.
- The fiscal Q4 2026 figure is the highest quarterly Change in Accured Expenses since fiscal Q4 2024.
- On a year-over-year basis, Change in Accured Expenses rose in two of the last four quarters, with growth averaging 4.5%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 169.2% in fiscal Q4 2022, against a decline of 53.6% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$25 million (Q3 2026), $32 million (Q2 2026) and -$131 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 472.36 Bn | 441.31 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 375.53 Bn | 247.66 Bn | - | -1.08 Bn |
| 3 | Sap Se | 279.86 Bn | 207.64 Bn | 8.40 Bn | -354.52 Mn |
| 4 | Salesforce | 200.72 Bn | 156.60 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 160.87 Bn | 139.33 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 123.16 Bn | 105.29 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 95.39 Bn | 74.74 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 74.37 Bn | 73.46 Bn | - | - |
| 9 | Thomson Reuters | 54.81 Bn | 51.59 Bn | - | - |
| 10 | Workday | 51.21 Bn | 27.33 Bn | 2.00 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 98.00 Mn |
| Oct 31, 2025 | -25.00 Mn |
| Jul 31, 2025 | 32.00 Mn |
| Apr 30, 2025 | -131.00 Mn |
| Jan 31, 2025 | 95.00 Mn |
| Oct 31, 2024 | -12.00 Mn |
| Jul 31, 2024 | 69.00 Mn |
| Apr 30, 2024 | -193.00 Mn |
| Jan 31, 2024 | 124.00 Mn |
| Oct 31, 2023 | -32.00 Mn |
| Jul 31, 2023 | 36.00 Mn |
| Apr 30, 2023 | -223.00 Mn |
| Jan 31, 2023 | 94.75 Mn |
| Oct 31, 2022 | 47.06 Mn |
| Jul 31, 2022 | 25.07 Mn |
| Apr 30, 2022 | -30.87 Mn |
| Jan 31, 2022 | 75.11 Mn |
| Oct 31, 2021 | 2.50 Mn |
| Jul 31, 2021 | -15.69 Mn |
| Apr 30, 2021 | -10.92 Mn |
API Access
Workday Change in Accured Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=WDAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "WDAY", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=WDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();