DoubleVerify Holdings (DV) Depreciation and Depletion (2020 - 2025)
DoubleVerify Holdings (DV) reported Depreciation and Depletion of $7.3 million for Q3 2025, up 69.8% from $4.3 million a year earlier and up 10.6% from the prior quarter.
DoubleVerify Holdings (DV) Depreciation and Depletion (2020 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, DoubleVerify Holdings' Depreciation and Depletion came in at $23.8 million, up 56.6% year-over-year; for FY2024, it came in at $16.5 million, up 28.9% from FY2023.
- Depreciation and Depletion has a five-year compound annual growth rate of 28.6% (FY2019 to FY2024).
- By year, Depreciation and Depletion came in at $12.8 million in FY2023 (+39.1%), $9.2 million in FY2022 (-20.0%), $11.5 million in FY2021 (+71.6%) and $6.7 million in FY2020 (+42.6%).
- The Q3 2025 figure ranks as the highest quarterly Depreciation and Depletion in data going back to Q1 2020.
- Year over year, Depreciation and Depletion has now increased in each of the last ten quarters, with growth averaging 41.8% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q1 2021 (growth of 85.7%); the low point was Q3 2022 (a decline of 34.5%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $6.6 million (Q2 2025), $5.2 million (Q1 2025) and $4.7 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 7.10 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 6.00 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | - |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | - |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | -418.45 Mn |
| 10 | DoubleVerify Holdings | 2.09 Bn | 1.25 Bn | 161.31 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 7.30 Mn |
| Jun 30, 2025 | 6.60 Mn |
| Mar 31, 2025 | 5.20 Mn |
| Dec 31, 2024 | 4.70 Mn |
| Sep 30, 2024 | 4.30 Mn |
| Jun 30, 2024 | 3.90 Mn |
| Mar 31, 2024 | 3.60 Mn |
| Dec 31, 2023 | 3.40 Mn |
| Sep 30, 2023 | 3.30 Mn |
| Jun 30, 2023 | 3.30 Mn |
| Mar 31, 2023 | 2.70 Mn |
| Dec 31, 2022 | 2.60 Mn |
| Sep 30, 2022 | 1.90 Mn |
| Jun 30, 2022 | 2.10 Mn |
| Mar 31, 2022 | 2.70 Mn |
| Dec 31, 2021 | 3.00 Mn |
| Sep 30, 2021 | 2.90 Mn |
| Jun 30, 2021 | 3.00 Mn |
| Mar 31, 2021 | 2.60 Mn |
| Dec 31, 2020 | 2.00 Mn |
DoubleVerify Holdings Depreciation and Depletion 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-depletion&ticker=DV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "DV", "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-depletion&ticker=DV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();