Verisk Analytics (VRSK) Sales of Property, Plant and Equipment (2020 - 2024)
Verisk Analytics' Sales of Property, Plant and Equipment was $80 million in FY2025, compared with $6.4 million in FY2024.
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Analysis
Verisk Analytics (VRSK) Sales of Property, Plant and Equipment (2020 - 2024) Analysis & Trends
From FY2020 onward, Verisk Analytics has reported Sales of Property, Plant and Equipment for 5 years.
- Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of 28.2% (FY2020 to FY2025).
- Annual Sales of Property, Plant and Equipment has moved between $6.4 million (FY2024) and $3.07 billion (FY2023) over five years.
- Per Business Quant data, Sales of Property, Plant and Equipment in earlier years was $6.4 million in FY2024 (-99.8%), $3.07 billion in FY2023 (+185.7%) and $1.07 billion in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 113.90 Bn | 109.50 Bn | 2.98 Bn | - |
| 2 | Moodys | 76.48 Bn | 68.91 Bn | 1.67 Bn | - |
| 3 | Msci | 38.99 Bn | 37.33 Bn | 717.10 Mn | - |
| 4 | Verisk Analytics | 21.33 Bn | 15.96 Bn | 572.90 Mn | - |
| 5 | Equifax | 16.47 Bn | 15.87 Bn | 926.40 Mn | - |
| 6 | TransUnion | 12.16 Bn | 9.14 Bn | - | - |
| 7 | Factset Research Systems | 9.52 Bn | 8.28 Bn | 310.73 Mn | - |
| 8 | Morningstar | 6.89 Bn | 4.79 Bn | 423.90 Mn | - |
| 9 | Mastercard | 480.84 Bn | 440.75 Bn | - | - |
| 10 | Cme | 94.54 Bn | 94.54 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 6.40 Mn |
| Mar 31, 2023 | 3.07 Bn |
| Jun 30, 2022 | 498.30 Mn |
| Mar 31, 2022 | 575.00 Mn |
| Mar 31, 2020 | 23.10 Mn |
API Access
Verisk Analytics Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();