Verisk Analytics (VRSK) Selling, General & Administrative (2010 - 2026)
Verisk Analytics (VRSK) posted Selling, General & Administrative of $128.6 million for Q2 2026, up 20.8% from $106.5 million a year earlier and up 17.4% from the prior quarter.
Verisk Analytics (VRSK) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Verisk Analytics was $480.9 million, up 11.9% year-over-year; for FY2025, it was $458.2 million, up 12.1% from FY2024.
- Annual Selling, General & Administrative has increased for five consecutive years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- In prior years, Verisk Analytics' Selling, General & Administrative was $408.7 million in FY2024 (+4.3%), $391.8 million in FY2023 (+2.7%), $381.5 million in FY2022 (+21.8%) and $313.2 million in FY2021 (+1.6%).
- Quarterly Selling, General & Administrative has run from a low of -$33.1 million in Q4 2021 to a high of $132.2 million in Q4 2025 over five years.
- On a year-over-year basis, Selling, General & Administrative has increased in each of the last three quarters, with growth averaging 7.8% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2023, with growth of 41.6%; the weakest was Q1 2023, with a decline of 26.8%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $109.5 million (Q1 2026), $132.2 million (Q4 2025) and $110.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | 873.00 Mn |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | 463.00 Mn |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | 46.20 Mn |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | 128.60 Mn |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | 422.50 Mn |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | 346.50 Mn |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | 144.43 Mn |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | 98.50 Mn |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | 3.08 Bn |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.60 Mn |
| Mar 31, 2026 | 109.50 Mn |
| Dec 31, 2025 | 132.20 Mn |
| Sep 30, 2025 | 110.60 Mn |
| Jun 30, 2025 | 106.50 Mn |
| Mar 31, 2025 | 108.90 Mn |
| Dec 31, 2024 | 100.30 Mn |
| Sep 30, 2024 | 114.00 Mn |
| Jun 30, 2024 | 101.50 Mn |
| Mar 31, 2024 | 92.90 Mn |
| Dec 31, 2023 | 114.40 Mn |
| Sep 30, 2023 | 111.60 Mn |
| Jun 30, 2023 | 86.80 Mn |
| Mar 31, 2023 | 79.00 Mn |
| Dec 31, 2022 | 80.80 Mn |
| Sep 30, 2022 | 96.50 Mn |
| Jun 30, 2022 | 96.30 Mn |
| Mar 31, 2022 | 107.90 Mn |
| Dec 31, 2021 | -33.10 Mn |
| Sep 30, 2021 | 115.10 Mn |
Verisk Analytics Selling, General & Administrative 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=selling-general-and-administrative&ticker=VRSK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();