Trade Desk (TTD) Return on Capital Employed [ROCE] (2016 - 2026)
Trade Desk (TTD) reported Return on Capital Employed [ROCE] of 19.84% for Q2 2026, up 3.36 percentage points from 16.48% a year earlier and up 0.14 percentage points from the prior quarter.
Trade Desk (TTD) Return on Capital Employed [ROCE] (2016 - 2026) Analysis & Trends
For FY2025, Trade Desk posted Return on Capital Employed [ROCE] of 20.56%, up 4.30 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased for three consecutive years, with a five-year change of +1.74 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 16.26% in FY2024 (+6.82 pp), 9.44% in FY2023 (+3.61 pp), 5.83% in FY2022 (-3.33 pp) and 9.16% in FY2021 (-9.65 pp).
- Five-year quarterly Return on Capital Employed [ROCE] spans a low of -0.59% in Q3 2022 and a high of 21.19% in Q4 2025.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last 13 quarters, with an average year-over-year change of +4.97 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2021 (a gain of 8.33 percentage points); the low point was Q3 2022 (a drop of 18.13 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 19.70% (Q1 2026), 21.19% (Q4 2025) and 17.86% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 21.49% |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | 30.16% |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | 2.77% |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | 14.37% |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 13.97% |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 121.68% |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | 22.53% |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | 19.81% |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | 28.23% |
| 10 | Trade Desk | 5.68 Bn | 42.90 Mn | 530.72 Mn | 19.84% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.84% |
| Mar 31, 2026 | 19.70% |
| Dec 31, 2025 | 21.19% |
| Sep 30, 2025 | 17.86% |
| Jun 30, 2025 | 16.48% |
| Mar 31, 2025 | 14.04% |
| Dec 31, 2024 | 14.55% |
| Sep 30, 2024 | 13.85% |
| Jun 30, 2024 | 12.76% |
| Mar 31, 2024 | 10.13% |
| Dec 31, 2023 | 9.14% |
| Sep 30, 2023 | 6.83% |
| Jun 30, 2023 | 6.94% |
| Mar 31, 2023 | 4.55% |
| Dec 31, 2022 | 5.35% |
| Sep 30, 2022 | -0.59% |
| Jun 30, 2022 | 2.11% |
| Mar 31, 2022 | 5.10% |
| Dec 31, 2021 | 8.44% |
| Sep 30, 2021 | 17.54% |
Trade Desk Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=TTD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=TTD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();