DoubleVerify Holdings (DV) Cost of Revenue (2020 - 2026)
DoubleVerify Holdings (DV) recorded Cost of Revenue of $32.48 million in Q2 2026, down 1.9% from $33.13 million a year earlier and down 2.0% from the prior quarter.
DoubleVerify Holdings (DV) Cost of Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, DoubleVerify Holdings' Cost of Revenue came in at $135.05 million as of Jun 30, 2026, up 5.6% year-over-year; for FY2025, it was $133.5 million, up 14.6% from FY2024.
- Annual Cost of Revenue has increased for six straight years, with a five-year compound annual growth rate of 30.1% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $116.52 million in FY2024 (+9.3%), $106.63 million in FY2023 (+36.9%), $77.87 million in FY2022 (+43.2%) and $54.38 million in FY2021 (+52.1%).
- The Q2 2026 figure is the lowest quarterly Cost of Revenue since Q1 2025.
- On a year-over-year basis, Cost of Revenue rose in seven of the last eight quarters, with growth averaging 11.5%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 65.4% in Q1 2022, against a decline of 1.9% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $33.16 million (Q1 2026), $35.94 million (Q4 2025) and $33.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 3.70 Bn |
| 10 | DoubleVerify Holdings | 2.09 Bn | 1.24 Bn | 161.31 Mn | 32.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.48 Mn |
| Mar 31, 2026 | 33.16 Mn |
| Dec 31, 2025 | 35.94 Mn |
| Sep 30, 2025 | 33.47 Mn |
| Jun 30, 2025 | 33.13 Mn |
| Mar 31, 2025 | 30.97 Mn |
| Dec 31, 2024 | 34.32 Mn |
| Sep 30, 2024 | 29.48 Mn |
| Jun 30, 2024 | 26.10 Mn |
| Mar 31, 2024 | 26.62 Mn |
| Dec 31, 2023 | 30.02 Mn |
| Sep 30, 2023 | 26.47 Mn |
| Jun 30, 2023 | 26.19 Mn |
| Mar 31, 2023 | 23.95 Mn |
| Dec 31, 2022 | 22.83 Mn |
| Sep 30, 2022 | 19.32 Mn |
| Jun 30, 2022 | 18.84 Mn |
| Mar 31, 2022 | 16.88 Mn |
| Dec 31, 2021 | 18.45 Mn |
| Sep 30, 2021 | 13.44 Mn |
DoubleVerify Holdings Cost of Revenue 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=cost-of-revenue&ticker=DV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();