Verisk Analytics (VRSK) Retained Earnings (2010 - 2026)
Verisk Analytics (VRSK) reported Retained Earnings of $8.14 billion for Q2 2026, up 8.4% from $7.51 billion a year earlier and up 2.0% from the prior quarter.
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Analysis
Verisk Analytics (VRSK) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025, Verisk Analytics posted Retained Earnings of $7.81 billion, up 9.2% from FY2024.
- Retained Earnings has increased for 15 consecutive years, with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- By year, Retained Earnings came in at $7.15 billion in FY2024 (+11.5%), $6.42 billion in FY2023 (+7.0%), $6 billion in FY2022 (+14.5%) and $5.24 billion in FY2021 (+10.0%).
- The Q2 2026 figure ranks as the highest quarterly Retained Earnings in data going back to Q4 2010.
- Year over year, Retained Earnings has now increased in each of the last 59 quarters, with growth averaging 10.0% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 5.1% (Q3 2023) and 17.1% (Q2 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.98 billion (Q1 2026), $7.81 billion (Q4 2025) and $7.68 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 116.38 Bn | 111.98 Bn | 2.98 Bn | 25.62 Bn |
| 2 | Moodys | 78.67 Bn | 71.10 Bn | 1.67 Bn | 19.03 Bn |
| 3 | Msci | 39.16 Bn | 37.50 Bn | 717.10 Mn | 5.88 Bn |
| 4 | Verisk Analytics | 21.84 Bn | 16.48 Bn | 572.90 Mn | 8.14 Bn |
| 5 | Equifax | 16.14 Bn | 15.54 Bn | 926.40 Mn | 6.67 Bn |
| 6 | TransUnion | 11.72 Bn | 8.70 Bn | - | 3.21 Bn |
| 7 | Factset Research Systems | 9.66 Bn | 8.43 Bn | 310.73 Mn | 2.61 Bn |
| 8 | Morningstar | 7.13 Bn | 5.03 Bn | 423.90 Mn | 2.38 Bn |
| 9 | Mastercard | 480.27 Bn | 440.19 Bn | - | 91.77 Bn |
| 10 | Cme | 94.12 Bn | 94.12 Bn | - | 5.46 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.14 Bn |
| Mar 31, 2026 | 7.98 Bn |
| Dec 31, 2025 | 7.81 Bn |
| Sep 30, 2025 | 7.68 Bn |
| Jun 30, 2025 | 7.51 Bn |
| Mar 31, 2025 | 7.32 Bn |
| Dec 31, 2024 | 7.15 Bn |
| Sep 30, 2024 | 7.00 Bn |
| Jun 30, 2024 | 6.83 Bn |
| Mar 31, 2024 | 6.58 Bn |
| Dec 31, 2023 | 6.42 Bn |
| Sep 30, 2023 | 6.29 Bn |
| Jun 30, 2023 | 6.15 Bn |
| Mar 31, 2023 | 6.01 Bn |
| Dec 31, 2022 | 6.00 Bn |
| Sep 30, 2022 | 5.99 Bn |
| Jun 30, 2022 | 5.85 Bn |
| Mar 31, 2022 | 5.70 Bn |
| Dec 31, 2021 | 5.24 Bn |
| Sep 30, 2021 | 5.15 Bn |
API Access
Verisk Analytics Retained 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=retained-earnings&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();