Toast (TOST) Return on Sales [ROS] (2020 - 2026)
Toast's Return on Sales [ROS] came in at 7.97% for Q2 2026, up 2.81 percentage points from 5.16% a year earlier and up 1.22 percentage points from the prior quarter.
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Analysis
Toast (TOST) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Toast reported Return on Sales [ROS] of 6.33%, up 2.92 percentage points year-over-year; for FY2025, it came in at 4.75%, up 4.42 percentage points from FY2024.
- Return on Sales [ROS] has increased in each of the last three years, with a five-year change of +31.48 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 0.32% in FY2024 (+7.75 pp), -7.43% in FY2023 (+6.64 pp), -14.06% in FY2022 (-0.69 pp) and -13.37% in FY2021 (+13.36 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] in data going back to Q3 2020.
- Year-over-year, Return on Sales [ROS] has increased for 16 consecutive quarters, with an average year-over-year change of +5.12 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2022 (a gain of 9.77 percentage points), and the weakest in Q1 2022 (a drop of 17.11 percentage points).
- Business Quant data shows TOST's Return on Sales [ROS] at 6.75% (Q1 2026), 5.21% (Q4 2025) and 5.14% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | Bentley Systems | 9.73 Bn | 9.19 Bn | 336.74 Mn | 21.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.97% |
| Mar 31, 2026 | 6.75% |
| Dec 31, 2025 | 5.21% |
| Sep 30, 2025 | 5.14% |
| Jun 30, 2025 | 5.16% |
| Mar 31, 2025 | 3.22% |
| Dec 31, 2024 | 2.39% |
| Sep 30, 2024 | 2.61% |
| Jun 30, 2024 | 0.40% |
| Mar 31, 2024 | -5.21% |
| Dec 31, 2023 | -5.41% |
| Sep 30, 2023 | -5.72% |
| Jun 30, 2023 | -8.18% |
| Mar 31, 2023 | -11.23% |
| Dec 31, 2022 | -12.89% |
| Sep 30, 2022 | -11.30% |
| Jun 30, 2022 | -14.67% |
| Mar 31, 2022 | -18.88% |
| Dec 31, 2021 | -22.66% |
| Sep 30, 2021 | -11.32% |
API Access
Toast 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=TOST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=TOST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();