Workday (WDAY) Price to Earnings (2021 - 2026)
Workday's (WDAY) Price to Earnings stood at 30.76 in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 70.7% from 105.01 a year earlier.
Analysis
Workday (WDAY) Price to Earnings (2021 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Workday's Price to Earnings came in at 65.67, down 50.5% from FY2025.
- Across earlier fiscal years, Price to Earnings came in at 132.70 in FY2025 (+138.6%), 55.61 in FY2024 and 2191.67 in FY2022.
- The fiscal Q2 2027 figure is the lowest quarterly Price to Earnings in data going back to fiscal Q3 2022.
- On a year-over-year basis, Price to Earnings rose in four of the last seven quarters, with growth averaging 65.1%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 30.76 |
| Jan 31, 2026 | 65.67 |
| Oct 31, 2025 | 98.81 |
| Jul 31, 2025 | 105.01 |
| Apr 30, 2025 | 134.12 |
| Jan 31, 2025 | 132.70 |
| Oct 31, 2024 | 38.32 |
| Jul 31, 2024 | 39.10 |
| Apr 30, 2024 | 43.62 |
| Jan 31, 2024 | 55.61 |
| Oct 31, 2023 | 828.96 |
| Jan 31, 2022 | 2,191.67 |
| Oct 31, 2021 | 2,340.54 |
API Access
Workday Price to Earnings 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=price-to-earnings&ticker=WDAY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=WDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();