Verisk Analytics (VRSK) Exchange Rate Effect (2010 - 2026)
Verisk Analytics' Exchange Rate Effect came in at -$2 million for Q2 2026, compared with $11.7 million a year earlier.
Verisk Analytics (VRSK) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Verisk Analytics reported Exchange Rate Effect of -$2.3 million; for FY2025, it was $13.9 million.
- Exchange Rate Effect carries a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- Going back by year, Exchange Rate Effect was -$2.2 million in FY2024, -$10.7 million in FY2023, -$17.8 million in FY2022 and -$3.3 million in FY2021.
- The five-year range for quarterly Exchange Rate Effect is -$16.4 million (Q3 2022) to $18.1 million (Q4 2022).
- Business Quant data shows VRSK's Exchange Rate Effect at -$1.8 million (Q1 2026), -$3.4 million (Q4 2025) and $4.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | -14.00 Mn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 17.00 Mn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 1.20 Mn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | -2.00 Mn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | -900,000.00 |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 7.20 Mn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | -2.98 Mn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | -2.40 Mn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | -10.00 Mn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.00 Mn |
| Mar 31, 2026 | -1.80 Mn |
| Dec 31, 2025 | -3.40 Mn |
| Sep 30, 2025 | 4.90 Mn |
| Jun 30, 2025 | 11.70 Mn |
| Mar 31, 2025 | 700,000.00 |
| Dec 31, 2024 | -3.50 Mn |
| Sep 30, 2024 | 3.60 Mn |
| Jun 30, 2024 | -2.20 Mn |
| Mar 31, 2024 | -100,000.00 |
| Dec 31, 2023 | -14.40 Mn |
| Sep 30, 2023 | 2.90 Mn |
| Jun 30, 2023 | -11.00 Mn |
| Mar 31, 2023 | 11.80 Mn |
| Dec 31, 2022 | 18.10 Mn |
| Sep 30, 2022 | -16.40 Mn |
| Jun 30, 2022 | -12.90 Mn |
| Mar 31, 2022 | -6.60 Mn |
| Dec 31, 2021 | 2.20 Mn |
| Sep 30, 2021 | -2.50 Mn |
Verisk Analytics 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=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "VRSK", "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=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();