Workday (WDAY) Selling, General & Administrative (2011 - 2026)
Workday (WDAY) reported Selling, General & Administrative of $231 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 6.9% from $216 million a year earlier.
Workday (WDAY) Selling, General & Administrative (2011 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Workday's Selling, General & Administrative came in at $931 million, up 10.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $912 million, up 11.2% from FY2025.
- Selling, General & Administrative has increased for 14 consecutive fiscal years, with a five-year compound annual growth rate of 17.1% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $820 million in FY2025 (+16.8%), $702 million in FY2024 (+17.2%), $599 million in FY2023 (+23.3%) and $486 million in FY2022 (+17.4%).
- Five-year quarterly Selling, General & Administrative spans a low of $121.66 million in fiscal Q3 2022 and a high of $250 million in fiscal Q4 2026.
- Across the past five years, year-over-year growth in Selling, General & Administrative ran from 6.0% in fiscal Q1 2026 to 26.3% in fiscal Q3 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 376.00 Mn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | - |
| 10 | Workday | 50.01 Bn | 26.13 Bn | 2.00 Bn | 231.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 231.00 Mn |
| Jan 31, 2026 | 250.00 Mn |
| Oct 31, 2025 | 234.00 Mn |
| Jul 31, 2025 | 216.00 Mn |
| Apr 30, 2025 | 212.00 Mn |
| Jan 31, 2025 | 220.00 Mn |
| Oct 31, 2024 | 198.00 Mn |
| Jul 31, 2024 | 202.00 Mn |
| Apr 30, 2024 | 200.00 Mn |
| Jan 31, 2024 | 190.00 Mn |
| Oct 31, 2023 | 176.00 Mn |
| Jul 31, 2023 | 169.00 Mn |
| Apr 30, 2023 | 168.00 Mn |
| Jan 31, 2023 | 171.17 Mn |
| Oct 31, 2022 | 153.71 Mn |
| Jul 31, 2022 | 140.26 Mn |
| Apr 30, 2022 | 133.87 Mn |
| Jan 31, 2022 | 138.61 Mn |
| Oct 31, 2021 | 121.66 Mn |
| Jul 31, 2021 | 113.55 Mn |
Workday Selling, General & Administrative 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=selling-general-and-administrative&ticker=WDAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=WDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();