Trade Desk (TTD) Return on Sales [ROS] (2015 - 2026)
Trade Desk (TTD) recorded Return on Sales [ROS] of 14.21% in Q2 2026, down 2.62 percentage points from 16.83% a year earlier but up 4.53 percentage points from the prior quarter.
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Analysis
Trade Desk (TTD) Return on Sales [ROS] (2015 - 2026) Analysis & Trends
On a TTM basis, Trade Desk's Return on Sales [ROS] came in at 19.61% as of Jun 30, 2026, up 1.88 percentage points year-over-year; for FY2025, it was 20.35%, up 2.88 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, with a five-year change of +3.10 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 17.47% in FY2024 (+7.17 pp), 10.30% in FY2023 (+3.10 pp), 7.20% in FY2022 (-3.23 pp) and 10.43% in FY2021 (-6.82 pp).
- Quarterly Return on Sales [ROS] has ranged from -6.41% in Q4 2021 to 30.33% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in seven of the last eight quarters, with an average year-over-year change of +2.81 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 26.82 percentage points in Q4 2022, against a drop of 39.68 percentage points in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at 9.68% (Q1 2026), 30.33% (Q4 2025) and 21.80% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 31.81% |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 20.10% |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 5.64% |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 15.18% |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 9.80% |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 78.22% |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 13.52% |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 38.43% |
| 10 | Trade Desk | 7.04 Bn | 1.40 Bn | 530.72 Mn | 14.21% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.21% |
| Mar 31, 2026 | 9.68% |
| Dec 31, 2025 | 30.33% |
| Sep 30, 2025 | 21.80% |
| Jun 30, 2025 | 16.83% |
| Mar 31, 2025 | 8.84% |
| Dec 31, 2024 | 26.36% |
| Sep 30, 2024 | 17.27% |
| Jun 30, 2024 | 16.20% |
| Mar 31, 2024 | 5.83% |
| Dec 31, 2023 | 23.84% |
| Sep 30, 2023 | 7.64% |
| Jun 30, 2023 | 8.98% |
| Mar 31, 2023 | -6.09% |
| Dec 31, 2022 | 20.41% |
| Sep 30, 2022 | 7.30% |
| Jun 30, 2022 | 0.46% |
| Mar 31, 2022 | -5.41% |
| Dec 31, 2021 | -6.41% |
| Sep 30, 2021 | 26.72% |
API Access
Trade Desk 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=TTD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TTD", "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=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();