Verisk Analytics (VRSK) Depreciation & Amortization (CF) (2010 - 2026)
Verisk Analytics (VRSK) reported Depreciation & Amortization (CF) of $66.3 million for Q2 2026, up 0.5% from $66 million a year earlier but down 5.2% from the prior quarter.
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Verisk Analytics (VRSK) Depreciation & Amortization (CF) (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Verisk Analytics' Depreciation & Amortization (CF) came in at $262 million, up 4.5% year-over-year; for FY2025, it came in at $259.2 million, up 11.0% from FY2024.
- Depreciation & Amortization (CF) has increased for three consecutive years, with a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Depreciation & Amortization (CF) came in at $233.6 million in FY2024 (+13.0%), $206.8 million in FY2023 (+4.9%), $197.1 million in FY2022 (-4.7%) and $206.9 million in FY2021 (+7.6%).
- Five-year quarterly Depreciation & Amortization (CF) spans a low of $44.6 million in Q1 2023 and a high of $69.9 million in Q1 2026.
- Year over year, Depreciation & Amortization (CF) has now increased in each of the last six quarters, with growth averaging 7.0% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was Q4 2023 (growth of 47.0%); the low point was Q4 2022 (a decline of 13.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $69.9 million (Q1 2026), $61.8 million (Q4 2025) and $64 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | S&P Global | 114.46 Bn | 110.07 Bn | 2.98 Bn | 32.00 Mn |
| 2 | Moodys | 77.50 Bn | 69.93 Bn | 1.67 Bn | 126.00 Mn |
| 3 | Msci | 39.67 Bn | 38.01 Bn | 717.10 Mn | 6.20 Mn |
| 4 | Verisk Analytics | 21.91 Bn | 16.55 Bn | 572.90 Mn | 66.30 Mn |
| 5 | Equifax | 16.44 Bn | 15.84 Bn | 926.40 Mn | 191.40 Mn |
| 6 | TransUnion | 11.91 Bn | 8.89 Bn | - | 160.50 Mn |
| 7 | Factset Research Systems | 9.93 Bn | 8.69 Bn | 310.73 Mn | 45.87 Mn |
| 8 | Morningstar | 7.17 Bn | 5.07 Bn | 423.90 Mn | 53.50 Mn |
| 9 | Mastercard | 479.32 Bn | 439.24 Bn | - | 309.00 Mn |
| 10 | Cme | 95.24 Bn | 95.24 Bn | - | 28.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.30 Mn |
| Mar 31, 2026 | 69.90 Mn |
| Dec 31, 2025 | 61.80 Mn |
| Sep 30, 2025 | 64.00 Mn |
| Jun 30, 2025 | 66.00 Mn |
| Mar 31, 2025 | 67.40 Mn |
| Dec 31, 2024 | 59.10 Mn |
| Sep 30, 2024 | 58.10 Mn |
| Jun 30, 2024 | 59.00 Mn |
| Mar 31, 2024 | 57.40 Mn |
| Dec 31, 2023 | 67.60 Mn |
| Sep 30, 2023 | 48.10 Mn |
| Jun 30, 2023 | 46.50 Mn |
| Mar 31, 2023 | 44.60 Mn |
| Dec 31, 2022 | 46.00 Mn |
| Sep 30, 2022 | 51.70 Mn |
| Jun 30, 2022 | 49.80 Mn |
| Mar 31, 2022 | 49.60 Mn |
| Dec 31, 2021 | 53.00 Mn |
| Sep 30, 2021 | 52.10 Mn |
API Access
Verisk Analytics Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=VRSK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=VRSK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();