Viant Technology (DSP) Return on Sales [ROS] (2020 - 2026)
Viant Technology's Return on Sales [ROS] came in at -3.69% for Q2 2026, down 3.71 percentage points from 0.02% a year earlier but up 0.78 percentage points from the prior quarter.
Viant Technology (DSP) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Viant Technology reported Return on Sales [ROS] of 2.35%, up 0.75 percentage points year-over-year; for FY2025, it was 3.51%, up 2.31 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, though with a five-year change of -9.66 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 1.20% in FY2024 (+9.41 pp), -8.21% in FY2023 (+16.78 pp), -24.98% in FY2022 (-5.89 pp) and -19.09% in FY2021 (-32.27 pp).
- The five-year range for quarterly Return on Sales [ROS] is -31.45% (Q1 2022) to 11.53% (Q4 2025).
- Year-over-year, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +2.94 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 21.64 percentage points), and the weakest in Q3 2021 (a drop of 42.51 percentage points).
- Business Quant data shows DSP's Return on Sales [ROS] at -4.47% (Q1 2026), 11.53% (Q4 2025) and 4.94% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 34.03% |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | 33.38% |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | 5.62% |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | 13.62% |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 13.32% |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 34.00% |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | 24.62% |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | 13.71% |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | 21.01% |
| 10 | Viant Technology | 845.97 Mn | 320.17 Mn | 45.54 Mn | -3.69% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.69% |
| Mar 31, 2026 | -4.47% |
| Dec 31, 2025 | 11.53% |
| Sep 30, 2025 | 4.94% |
| Jun 30, 2025 | 0.02% |
| Mar 31, 2025 | -6.88% |
| Dec 31, 2024 | 6.55% |
| Sep 30, 2024 | 5.05% |
| Jun 30, 2024 | -1.17% |
| Mar 31, 2024 | -10.66% |
| Dec 31, 2023 | 1.37% |
| Sep 30, 2023 | -4.73% |
| Jun 30, 2023 | -9.18% |
| Mar 31, 2023 | -26.63% |
| Dec 31, 2022 | -16.89% |
| Sep 30, 2022 | -26.37% |
| Jun 30, 2022 | -26.90% |
| Mar 31, 2022 | -31.45% |
| Dec 31, 2021 | 9.29% |
| Sep 30, 2021 | -23.23% |
Viant Technology Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=DSP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=DSP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();