DoubleVerify Holdings (DV) EBITDA (2020 - 2026)
DoubleVerify Holdings (DV) posted EBITDA of $39.69 million for Q2 2026, up 40.5% from $28.25 million a year earlier and up 28.1% from the prior quarter.
DoubleVerify Holdings (DV) EBITDA (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at DoubleVerify Holdings was $159.04 million, up 17.7% year-over-year; for FY2025, it came in at $135.78 million, up 6.4% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- In prior years, DoubleVerify Holdings' EBITDA was $127.64 million in FY2024 (+0.8%), $126.61 million in FY2023 (+35.6%), $93.35 million in FY2022 (+63.9%) and $56.97 million in FY2021 (+24.0%).
- Quarterly EBITDA has run from a low of $11.9 million in Q1 2022 to a high of $52.09 million in Q4 2025 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last three quarters, with growth averaging 21.2% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q4 2021, with growth of 139.2%; the weakest was Q1 2024, with a decline of 26.3%.
- According to Business Quant data, EBITDA for the three prior quarters was $30.98 million (Q1 2026), $52.09 million (Q4 2025) and $36.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,051.51 Bn | 3,809.03 Bn | 73.85 Bn | 47.87 Bn |
| 2 | Meta Platforms | 1,796.40 Bn | 1,498.92 Bn | 49.47 Bn | 25.13 Bn |
| 3 | Netflix | 273.44 Bn | 233.63 Bn | 6.52 Bn | 8.60 Bn |
| 4 | Alibaba Group Holding | 241.03 Bn | 54.81 Bn | 15.11 Bn | - |
| 5 | Shopify | 227.03 Bn | 204.22 Bn | 1.71 Bn | 495.00 Mn |
| 6 | Uber Technologies | 138.01 Bn | 109.81 Bn | 6.38 Bn | 2.09 Bn |
| 7 | Booking Holdings | 121.24 Bn | 54.29 Bn | - | 2.63 Bn |
| 8 | PDD Holdings | 109.65 Bn | -134.12 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 106.56 Bn | 64.06 Bn | 1.86 Bn | 795.06 Mn |
| 10 | DoubleVerify Holdings | 2.09 Bn | 1.24 Bn | 161.31 Mn | 39.79 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.79 Mn |
| Mar 31, 2026 | 31.08 Mn |
| Dec 31, 2025 | 52.20 Mn |
| Sep 30, 2025 | 36.40 Mn |
| Jun 30, 2025 | 28.35 Mn |
| Mar 31, 2025 | 19.26 Mn |
| Dec 31, 2024 | 50.66 Mn |
| Sep 30, 2024 | 37.39 Mn |
| Jun 30, 2024 | 22.13 Mn |
| Mar 31, 2024 | 17.90 Mn |
| Dec 31, 2023 | 49.24 Mn |
| Sep 30, 2023 | 29.02 Mn |
| Jun 30, 2023 | 24.39 Mn |
| Mar 31, 2023 | 24.26 Mn |
| Dec 31, 2022 | 37.56 Mn |
| Sep 30, 2022 | 22.56 Mn |
| Jun 30, 2022 | 21.56 Mn |
| Mar 31, 2022 | 11.97 Mn |
| Dec 31, 2021 | 24.39 Mn |
| Sep 30, 2021 | 19.38 Mn |
DoubleVerify Holdings EBITDA 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=ebitda&ticker=DV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=DV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();