DoubleVerify Holdings (DV) Other Accumulated Expenses (2020 - 2026)
DoubleVerify Holdings' Other Accumulated Expenses came in at $16.66 million for Q2 2026, up 18.0% from $14.12 million a year earlier and up 9.9% from the prior quarter.
DoubleVerify Holdings (DV) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, DoubleVerify Holdings' Other Accumulated Expenses was $13.48 million, up 64.4% from FY2024.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 48.5% (FY2020 to FY2025).
- Going back by year, Other Accumulated Expenses was $8.2 million in FY2024 (-7.5%), $8.86 million in FY2023 (+6.7%), $8.31 million in FY2022 (+23.7%) and $6.72 million in FY2021 (+260.3%).
- The five-year range for quarterly Other Accumulated Expenses is $3.99 million (Q3 2021) to $18.35 million (Q3 2025).
- Year-over-year, Other Accumulated Expenses increased in six of the last eight quarters, with growth averaging 28.2%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in Q4 2021 (growth of 260.3%), and the weakest in Q4 2024 (a decline of 7.5%).
- Business Quant data shows DV's Other Accumulated Expenses at $15.17 million (Q1 2026), $13.48 million (Q4 2025) and $18.35 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,939.60 Bn | 3,697.12 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,653.27 Bn | 1,355.79 Bn | 49.47 Bn |
| 3 | Netflix | 275.33 Bn | 236.63 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 236.23 Bn | 58.44 Bn | 15.11 Bn |
| 5 | Shopify | 218.65 Bn | 195.83 Bn | 1.71 Bn |
| 6 | Uber Technologies | 140.84 Bn | 112.82 Bn | 6.38 Bn |
| 7 | Booking Holdings | 121.05 Bn | 54.10 Bn | - |
| 8 | Spotify Technology | 120.09 Bn | 77.01 Bn | 1.89 Bn |
| 9 | PDD Holdings | 112.69 Bn | -131.09 Bn | 9.45 Bn |
| 10 | DoubleVerify Holdings | 2.10 Bn | 1.26 Bn | 161.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.66 Mn |
| Mar 31, 2026 | 15.17 Mn |
| Dec 31, 2025 | 13.48 Mn |
| Sep 30, 2025 | 18.35 Mn |
| Jun 30, 2025 | 14.12 Mn |
| Mar 31, 2025 | 15.66 Mn |
| Dec 31, 2024 | 8.20 Mn |
| Sep 30, 2024 | 14.30 Mn |
| Jun 30, 2024 | 11.45 Mn |
| Mar 31, 2024 | 9.84 Mn |
| Dec 31, 2023 | 8.86 Mn |
| Sep 30, 2023 | 9.99 Mn |
| Jun 30, 2023 | 8.48 Mn |
| Mar 31, 2023 | 7.59 Mn |
| Dec 31, 2022 | 8.31 Mn |
| Sep 30, 2022 | 7.15 Mn |
| Jun 30, 2022 | 6.03 Mn |
| Mar 31, 2022 | 6.75 Mn |
| Dec 31, 2021 | 6.72 Mn |
| Sep 30, 2021 | 3.99 Mn |
DoubleVerify Holdings Other Accumulated Expenses 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=other-accumulated-expenses&ticker=DV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=DV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();