Veeva Systems (VEEV) Exchange Rate Effect (2014 - 2026)
Veeva Systems (VEEV) posted Exchange Rate Effect of -$299000.0 for Q3 2026, up 43.8% on a QoQ basis from -$532000.0 in Q2 2026, and down 149.92% year-over-year from $599000.0 in Q3 2025.
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Veeva Systems (VEEV) Exchange Rate Effect (2014 - 2026) Analysis & Trends
Veeva Systems has reported Exchange Rate Effect for 13 years, with the latest figure at -$299000.0 in Q3 2026.
- On a quarterly basis, Exchange Rate Effect fell 149.92% year-over-year to -$299000.0 in Q3 2026; TTM through Jul 2026 was -$1.3 million, a 244.78% decrease from a year earlier, with the FY2026 full-year figure at $919000.0, up 152.97% from the prior year.
- Exchange Rate Effect was -$299000.0 for Q3 2026 at Veeva Systems, up from -$532000.0 in the prior quarter.
- The five-year high for Exchange Rate Effect was $766000.0 in Q2 2025, with the low at -$1.9 million in Q2 2022.
- Average Exchange Rate Effect over 5 years is -$455578.9, with a median of -$389000.0 recorded in 2025.
- The sharpest annual moves came in 2024 and 2025: Exchange Rate Effect plunged 6715.79% in 2024, then jumped 11880.0% in 2025.
- Over 5 years, Exchange Rate Effect stood at -$1.5 million in 2022, then grew by 13.08% to -$1.3 million in 2023, then surged by 92.67% to -$94000.0 in 2024, then plunged by 425.53% to -$494000.0 in 2025, then surged by 39.47% to -$299000.0 in 2026.
- The last three Exchange Rate Effect figures came in at -$299000.0 (Q3 2026), -$532000.0 (Q2 2026), and $48000.0 (Q1 2026), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | -299,000.00 |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | -1.92 Mn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | - |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | -3.57 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | -3.30 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | - |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | -2.61 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | -1.00 Mn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | -1.48 Mn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | -809,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -299,000.00 |
| Apr 30, 2026 | -532,000.00 |
| Jan 31, 2026 | 48,000.00 |
| Oct 31, 2025 | -494,000.00 |
| Jul 31, 2025 | 599,000.00 |
| Apr 30, 2025 | 766,000.00 |
| Jan 31, 2025 | -389,000.00 |
| Oct 31, 2024 | -94,000.00 |
| Jul 31, 2024 | 5,000.00 |
| Apr 30, 2024 | -1.26 Mn |
| Jan 31, 2024 | -807,000.00 |
| Oct 31, 2023 | -1.28 Mn |
| Jul 31, 2023 | 290,000.00 |
| Apr 30, 2023 | 19,000.00 |
| Jan 31, 2023 | -588,000.00 |
| Oct 31, 2022 | -1.48 Mn |
| Jul 31, 2022 | -1.05 Mn |
| Apr 30, 2022 | -1.87 Mn |
| Jan 31, 2022 | -243,000.00 |
| Oct 31, 2021 | -1.47 Mn |
API Access
Veeva Systems 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=VEEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "VEEV", "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=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();