DoubleVerify Holdings (DV) Intangibles (2020 - 2026)
DoubleVerify Holdings (DV) posted Intangibles of $87.87 million for Q2 2026, down 24.3% from $116.07 million a year earlier and down 7.0% from the prior quarter.
DoubleVerify Holdings (DV) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, DoubleVerify Holdings' Intangibles came in at $101.62 million, down 7.9% from FY2024.
- Annual Intangibles shows a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- In prior years, DoubleVerify Holdings' Intangibles was $110.36 million in FY2024 (-21.7%), $140.88 million in FY2023 (+4.0%), $135.43 million in FY2022 (-11.7%) and $153.4 million in FY2021 (+26.0%).
- The Q2 2026 figure stands as the lowest quarterly Intangibles in data going back to Q4 2020.
- On a year-over-year basis, Intangibles has declined in each of the last eight quarters, with an average decline of 15.0% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was Q1 2022, with growth of 31.8%; the weakest was Q2 2026, with a decline of 24.3%.
- According to Business Quant data, Intangibles for the three prior quarters was $94.52 million (Q1 2026), $101.62 million (Q4 2025) and $108.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 9.11 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | - |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 2.46 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 27.00 Mn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 1.13 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 852.00 Mn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 2.00 Mn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 41.12 Mn |
| 10 | DoubleVerify Holdings | 2.08 Bn | 1.24 Bn | 161.31 Mn | 87.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.87 Mn |
| Mar 31, 2026 | 94.52 Mn |
| Dec 31, 2025 | 101.62 Mn |
| Sep 30, 2025 | 108.20 Mn |
| Jun 30, 2025 | 116.07 Mn |
| Mar 31, 2025 | 121.87 Mn |
| Dec 31, 2024 | 110.36 Mn |
| Sep 30, 2024 | 119.65 Mn |
| Jun 30, 2024 | 125.42 Mn |
| Mar 31, 2024 | 132.82 Mn |
| Dec 31, 2023 | 140.88 Mn |
| Sep 30, 2023 | 147.31 Mn |
| Jun 30, 2023 | 122.97 Mn |
| Mar 31, 2023 | 129.35 Mn |
| Dec 31, 2022 | 135.43 Mn |
| Sep 30, 2022 | 140.84 Mn |
| Jun 30, 2022 | 147.61 Mn |
| Mar 31, 2022 | 154.51 Mn |
| Dec 31, 2021 | 153.40 Mn |
| Sep 30, 2021 | 117.71 Mn |
DoubleVerify Holdings Intangibles 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=intangibles&ticker=DV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=DV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();