Workday (WDAY) Other Operating Expenses (2011 - 2026)
Workday (WDAY) posted Other Operating Expenses of $1.4 billion for Q3 2026, up 5.6% on a QoQ basis from $1.3 billion in Q1 2026, and up 11.04% year-over-year from $1.2 billion in Q3 2025.
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Analysis
Workday (WDAY) Other Operating Expenses (2011 - 2026) Analysis & Trends
Workday has reported Other Operating Expenses for 16 years, with the latest figure at $1.4 billion in Q3 2026.
- On a quarterly basis, Other Operating Expenses rose 11.04% year-over-year to $1.4 billion in Q3 2026; TTM through Jul 2026 was $5.1 billion, a 8.79% increase from a year earlier, with the FY2026 full-year figure at $4.9 billion, up 9.69% from the prior year.
- Other Operating Expenses was $1.4 billion for Q3 2026 at Workday, up from $1.3 billion in the prior quarter.
- The five-year high for Other Operating Expenses was $1.4 billion in Q3 2026, with the low at $800.7 million in Q1 2022.
- Average Other Operating Expenses over 5 years is $1.1 billion, with a median of $1.0 billion recorded in 2024.
- The sharpest annual moves came in 2022 and 2024: Other Operating Expenses rose 26.17% in 2022, then increased 4.72% in 2024.
- Over 5 years, Other Operating Expenses stood at $906.0 million in 2022, then grew by 8.5% to $983.0 million in 2023, then climbed by 16.99% to $1.2 billion in 2024, then rose by 9.3% to $1.3 billion in 2025, then gained by 8.04% to $1.4 billion in 2026.
- The last three Other Operating Expenses figures came in at $1.4 billion (Q3 2026), $1.3 billion (Q1 2026), and $1.3 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.36 Bn |
| Jan 31, 2026 | 1.29 Bn |
| Oct 31, 2025 | 1.27 Bn |
| Jul 31, 2025 | 1.22 Bn |
| Apr 30, 2025 | 1.16 Bn |
| Jan 31, 2025 | 1.18 Bn |
| Oct 31, 2024 | 1.15 Bn |
| Jul 31, 2024 | 1.12 Bn |
| Apr 30, 2024 | 1.06 Bn |
| Jan 31, 2024 | 1.02 Bn |
| Oct 31, 2023 | 983.00 Mn |
| Jul 31, 2023 | 972.00 Mn |
| Apr 30, 2023 | 936.00 Mn |
| Jan 31, 2023 | 972.10 Mn |
| Oct 31, 2022 | 905.99 Mn |
| Jul 31, 2022 | 881.79 Mn |
| Apr 30, 2022 | 832.12 Mn |
| Jan 31, 2022 | 800.73 Mn |
| Oct 31, 2021 | 726.05 Mn |
| Jul 31, 2021 | 703.68 Mn |
API Access
Workday Other Operating 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=other-operating-expenses&ticker=WDAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=WDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();