Toast (TOST) Return on Capital Employed [ROCE] (2021 - 2026)
Toast (TOST) posted Return on Capital Employed [ROCE] of 21.19% for Q2 2026, up 10.53 percentage points from 10.67% a year earlier and up 3.73 percentage points from the prior quarter.
Toast (TOST) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Toast's Return on Capital Employed [ROCE] came in at 16.15%, up 14.99 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has increased for three consecutive years, with a four-year change of +41.39 percentage points (FY2021 to FY2025).
- In prior years, Toast's Return on Capital Employed [ROCE] was 1.17% in FY2024 (+25.15 pp), -23.99% in FY2023 (+6.68 pp), -30.67% in FY2022 (-5.44 pp) and -25.24% in FY2021.
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] in data going back to Q4 2021.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last 12 quarters, with an average year-over-year change of +18.29 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2025, with a gain of 26.37 percentage points; the weakest was Q4 2022, with a drop of 13.71 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 17.47% (Q1 2026), 13.98% (Q4 2025) and 12.21% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.12% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 21.19% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 21.53% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.74% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 10.56% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 112.05% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 0.82% |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 14.73% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.19% |
| Mar 31, 2026 | 17.47% |
| Dec 31, 2025 | 13.98% |
| Sep 30, 2025 | 12.21% |
| Jun 30, 2025 | 10.67% |
| Mar 31, 2025 | 6.94% |
| Dec 31, 2024 | 1.00% |
| Sep 30, 2024 | -5.06% |
| Jun 30, 2024 | -12.14% |
| Mar 31, 2024 | -19.43% |
| Dec 31, 2023 | -23.28% |
| Sep 30, 2023 | -26.60% |
| Jun 30, 2023 | -29.40% |
| Mar 31, 2023 | -30.24% |
| Dec 31, 2022 | -30.60% |
| Sep 30, 2022 | -31.12% |
| Jun 30, 2022 | -28.87% |
| Mar 31, 2022 | -24.28% |
| Dec 31, 2021 | -16.89% |
Toast 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=TOST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "TOST", "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=TOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();