Viant Technology (DSP) Revenue (2020 - 2026)
Viant Technology's Revenue came in at $104.25 million for Q2 2026, up 33.9% from $77.85 million a year earlier and up 17.8% from the prior quarter.
Viant Technology (DSP) Revenue (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Viant Technology reported Revenue of $388.5 million, up 22.0% year-over-year; for FY2025, it was $344.2 million, up 19.0% from FY2024.
- Revenue has increased in each of the last three years, with a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Going back by year, Revenue was $289.24 million in FY2024 (+29.7%), $222.93 million in FY2023 (+13.1%), $197.17 million in FY2022 (-12.0%) and $224.13 million in FY2021 (+35.6%).
- The five-year range for quarterly Revenue is $41.72 million (Q1 2023) to $110.12 million (Q4 2025).
- Year-over-year, Revenue has increased for 13 consecutive quarters, with growth averaging 26.6% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q4 2021 (growth of 46.5%), and the weakest in Q4 2022 (a decline of 34.1%).
- Business Quant data shows DSP's Revenue at $88.54 million (Q1 2026), $110.12 million (Q4 2025) and $85.58 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 16.56 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.92 Bn |
| 10 | Viant Technology | 813.41 Mn | 287.61 Mn | 45.54 Mn | 104.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 104.25 Mn |
| Mar 31, 2026 | 88.54 Mn |
| Dec 31, 2025 | 110.12 Mn |
| Sep 30, 2025 | 85.58 Mn |
| Jun 30, 2025 | 77.85 Mn |
| Mar 31, 2025 | 70.64 Mn |
| Dec 31, 2024 | 90.05 Mn |
| Sep 30, 2024 | 79.92 Mn |
| Jun 30, 2024 | 65.87 Mn |
| Mar 31, 2024 | 53.39 Mn |
| Dec 31, 2023 | 64.41 Mn |
| Sep 30, 2023 | 59.59 Mn |
| Jun 30, 2023 | 57.22 Mn |
| Mar 31, 2023 | 41.72 Mn |
| Dec 31, 2022 | 54.51 Mn |
| Sep 30, 2022 | 48.83 Mn |
| Jun 30, 2022 | 51.20 Mn |
| Mar 31, 2022 | 42.63 Mn |
| Dec 31, 2021 | 82.72 Mn |
| Sep 30, 2021 | 50.86 Mn |
Viant Technology 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=revenue&ticker=DSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "ticker": "DSP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=revenue&ticker=DSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();