DoubleVerify Holdings (DV) Total Liabilities (2020 - 2026)
DoubleVerify Holdings (DV) recorded Total Liabilities of $215.65 million in Q2 2026, up 4.2% from $206.91 million a year earlier and up 11.7% from the prior quarter.
DoubleVerify Holdings (DV) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, DoubleVerify Holdings reported Total Liabilities of $222.75 million, up 15.6% from FY2024.
- Annual Total Liabilities has increased for four straight years, with a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $192.75 million in FY2024 (+14.0%), $169.09 million in FY2023 (+5.6%), $160.17 million in FY2022 (+72.0%) and $93.13 million in FY2021 (-1.6%).
- Quarterly Total Liabilities has ranged from $73.24 million in Q3 2021 to $222.75 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Liabilities rose in seven of the last eight quarters, with growth averaging 13.9%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 120.4% in Q3 2022, against a decline of 10.8% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $193.14 million (Q1 2026), $222.75 million (Q4 2025) and $219.65 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 125.97 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 31.74 Bn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 6.13 Bn |
| 10 | DoubleVerify Holdings | 2.08 Bn | 1.24 Bn | 161.31 Mn | 215.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 215.65 Mn |
| Mar 31, 2026 | 193.14 Mn |
| Dec 31, 2025 | 222.75 Mn |
| Sep 30, 2025 | 219.65 Mn |
| Jun 30, 2025 | 206.91 Mn |
| Mar 31, 2025 | 216.56 Mn |
| Dec 31, 2024 | 192.75 Mn |
| Sep 30, 2024 | 181.77 Mn |
| Jun 30, 2024 | 167.48 Mn |
| Mar 31, 2024 | 163.10 Mn |
| Dec 31, 2023 | 169.09 Mn |
| Sep 30, 2023 | 163.89 Mn |
| Jun 30, 2023 | 148.44 Mn |
| Mar 31, 2023 | 161.67 Mn |
| Dec 31, 2022 | 160.17 Mn |
| Sep 30, 2022 | 161.40 Mn |
| Jun 30, 2022 | 154.68 Mn |
| Mar 31, 2022 | 151.99 Mn |
| Dec 31, 2021 | 93.13 Mn |
| Sep 30, 2021 | 73.24 Mn |
DoubleVerify Holdings Total Liabilities 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=total-liabilities&ticker=DV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=DV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();