DoubleVerify Holdings (DV) Non Operating Interest Expenses (2020 - 2026)
DoubleVerify Holdings' Non Operating Interest Expenses was $475,000 in Q2 2026, up 7.2% from $443,000 a year earlier and up 15.0% from the prior quarter.
DoubleVerify Holdings (DV) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, DoubleVerify Holdings' Non Operating Interest Expenses was $1.76 million through Jun 30, 2026, up 16.0% year-over-year; for FY2025, it was $1.73 million, up 55.0% from FY2024.
- Non Operating Interest Expenses has now increased for three consecutive years, though with a five-year compound annual growth rate of -18.9% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $1.12 million in FY2024 (+4.9%), $1.07 million in FY2023 (+17.8%), $905,000 in FY2022 (-22.8%) and $1.17 million in FY2021 (-76.2%).
- The Q2 2026 figure marks the highest quarterly Non Operating Interest Expenses since Q4 2020.
- Compared with a year earlier, Non Operating Interest Expenses was higher in seven of the last eight quarters, with growth averaging 34.4%.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q2 2025 (growth of 90.1%); the worst was Q4 2021 (a decline of 88.0%).
- Per Business Quant data, DV's Non Operating Interest Expenses in the three quarters before Q2 2026 was $413,000 (Q1 2026), $403,000 (Q4 2025) and $467,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | - |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -346.00 Mn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | -24.41 Mn |
| 10 | DoubleVerify Holdings | 2.09 Bn | 1.25 Bn | 161.31 Mn | 475,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 475,000.00 |
| Mar 31, 2026 | 413,000.00 |
| Dec 31, 2025 | 403,000.00 |
| Sep 30, 2025 | 467,000.00 |
| Jun 30, 2025 | 443,000.00 |
| Mar 31, 2025 | 420,000.00 |
| Dec 31, 2024 | 300,000.00 |
| Sep 30, 2024 | 353,000.00 |
| Jun 30, 2024 | 233,000.00 |
| Mar 31, 2024 | 232,000.00 |
| Dec 31, 2023 | 275,000.00 |
| Sep 30, 2023 | 288,000.00 |
| Jun 30, 2023 | 247,000.00 |
| Mar 31, 2023 | 256,000.00 |
| Dec 31, 2022 | 224,000.00 |
| Sep 30, 2022 | 226,000.00 |
| Jun 30, 2022 | 223,000.00 |
| Mar 31, 2022 | 232,000.00 |
| Dec 31, 2021 | 236,000.00 |
| Sep 30, 2021 | 249,000.00 |
DoubleVerify Holdings Non Operating Interest 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=non-operating-interest-expenses&ticker=DV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=DV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();