Verisk Analytics (VRSK) Property, Plant & Equipment (Net) (2009 - 2026)
Verisk Analytics' Property, Plant & Equipment (Net) was $616.2 million in Q3 2026, up 4.3% from $591 million a year earlier and up 6.1% from the prior quarter.
Powered by 
Analysis
Verisk Analytics (VRSK) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Verisk Analytics came in at $582.8 million, down 3.8% from FY2024.
- Property, Plant & Equipment (Net) shows a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $605.9 million in FY2024 (+0.2%), $604.9 million in FY2023 (+11.7%), $541.5 million in FY2022 (+1.9%) and $531.4 million in FY2021 (-16.0%).
- The Q3 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Compared with a year earlier, Property, Plant & Equipment (Net) was higher in two of the last eight quarters, with an average decline of 2.1%.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q4 2023 (growth of 11.7%); the worst was Q4 2021 (a decline of 16.0%).
- Per Business Quant data, VRSK's Property, Plant & Equipment (Net) in the three quarters before Q3 2026 was $580.6 million (Q2 2026), $578.2 million (Q1 2026) and $582.8 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Msci | 236.00 Bn | 234.48 Bn | 739.80 Mn | 99.10 Mn |
| 2 | S&P Global | 137.30 Bn | 132.50 Bn | 2.64 Bn | 233.00 Mn |
| 3 | Moodys | 87.63 Bn | 80.69 Bn | 1.50 Bn | 782.00 Mn |
| 4 | Verisk Analytics | 26.66 Bn | 22.85 Bn | 567.00 Mn | 616.20 Mn |
| 5 | Equifax | 22.03 Bn | 21.43 Bn | 940.10 Mn | 1.92 Bn |
| 6 | TransUnion | 15.46 Bn | 12.30 Bn | - | 241.20 Mn |
| 7 | Factset Research Systems | 11.73 Bn | 10.58 Bn | 308.40 Mn | 79.25 Mn |
| 8 | Morningstar | 9.14 Bn | 7.03 Bn | 431.40 Mn | 244.70 Mn |
| 9 | Mastercard | 572.29 Bn | 532.37 Bn | - | 2.64 Bn |
| 10 | Cme | 113.65 Bn | 101.99 Bn | 359.20 Mn | 338.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 616.20 Mn |
| Jun 30, 2026 | 580.60 Mn |
| Mar 31, 2026 | 578.20 Mn |
| Dec 31, 2025 | 582.80 Mn |
| Sep 30, 2025 | 591.00 Mn |
| Jun 30, 2025 | 593.10 Mn |
| Mar 31, 2025 | 596.00 Mn |
| Dec 31, 2024 | 605.90 Mn |
| Sep 30, 2024 | 621.80 Mn |
| Jun 30, 2024 | 623.80 Mn |
| Mar 31, 2024 | 612.50 Mn |
| Dec 31, 2023 | 604.90 Mn |
| Sep 30, 2023 | 611.70 Mn |
| Jun 30, 2023 | 581.90 Mn |
| Mar 31, 2023 | 561.10 Mn |
| Dec 31, 2022 | 541.50 Mn |
| Sep 30, 2022 | 652.00 Mn |
| Jun 30, 2022 | 646.90 Mn |
| Mar 31, 2022 | 635.90 Mn |
| Dec 31, 2021 | 531.40 Mn |
API Access
Verisk Analytics Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();