Workday (WDAY) Exchange Rate Effect (2011 - 2026)
Workday (WDAY) posted Exchange Rate Effect of $1.0 million for Q1 2026, up 200.0% on a QoQ basis from -$1.0 million in Q4 2025.
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Analysis
Workday (WDAY) Exchange Rate Effect (2011 - 2026) Analysis & Trends
Workday has reported Exchange Rate Effect for 15 years, with the latest figure at $1.0 million in Q1 2026.
- On a quarterly basis, Exchange Rate Effect changed N/A year-over-year to $1.0 million in Q1 2026; TTM through Jan 2026 was $2.0 million, a N/A change from a year earlier, with the FY2026 full-year figure at $2.0 million, changed N/A from the prior year.
- Exchange Rate Effect was $1.0 million for Q1 2026 at Workday, up from -$1.0 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $1.0 million in Q3 2023, with the low at -$1.0 million in Q2 2023.
- Average Exchange Rate Effect over 4 years is -$76250.0, with a median of -$415000.0 recorded in 2022.
- The sharpest annual moves came in 2022 and 2023: Exchange Rate Effect tumbled 1940.0% in 2022, then soared 789.66% in 2023.
- Over 4 years, Exchange Rate Effect stood at -$920000.0 in 2022, then decreased by 8.7% to -$1.0 million in 2023, then changed by 0.0% to -$1.0 million in 2025, then jumped by 200.0% to $1.0 million in 2026.
- The last three Exchange Rate Effect figures came in at $1.0 million (Q1 2026), -$1.0 million (Q4 2025), and $1.0 million (Q3 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 11.00 Mn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | -11.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | -518,000.00 |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 1.00 Mn |
| Oct 31, 2025 | -1.00 Mn |
| Jul 31, 2025 | 1.00 Mn |
| Apr 30, 2025 | 1.00 Mn |
| Oct 31, 2023 | -1.00 Mn |
| Jul 31, 2023 | 1.00 Mn |
| Apr 30, 2023 | -1.00 Mn |
| Jan 31, 2023 | 750,000.00 |
| Oct 31, 2022 | -920,000.00 |
| Jul 31, 2022 | -145,000.00 |
| Apr 30, 2022 | -685,000.00 |
| Jan 31, 2022 | -915,000.00 |
| Oct 31, 2021 | 50,000.00 |
| Jul 31, 2021 | -321,000.00 |
| Apr 30, 2021 | 186,000.00 |
| Jan 31, 2021 | 788,000.00 |
| Oct 31, 2020 | 40,000.00 |
| Jul 31, 2020 | 771,000.00 |
| Apr 30, 2020 | -265,000.00 |
| Jan 31, 2020 | -78,000.00 |
API Access
Workday Exchange Rate Effect 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=exchange-rate-effect&ticker=WDAY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=WDAY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();