Toro (TTC) Return on Sales [ROS] (2009 - 2026)
Toro (TTC) posted Return on Sales [ROS] of 9.40% for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 3.67 percentage points from 5.73% a year earlier but down 4.29 percentage points from the prior quarter.
Toro (TTC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Return on Sales [ROS] at Toro was 10.31%, up 0.87 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was 9.09%, down 2.55 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -3.53 percentage points (FY2020 to FY2025).
- In prior fiscal years, Toro's Return on Sales [ROS] was 11.63% in FY2024 (+2.18 pp), 9.46% in FY2023 (-3.29 pp), 12.75% in FY2022 (-0.34 pp) and 13.09% in FY2021 (+0.47 pp).
- Quarterly Return on Sales [ROS] has run from a low of -1.77% in fiscal Q3 2023 to a high of 16.34% in fiscal Q2 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of -0.63 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q3 2024, with a gain of 14.57 percentage points; the weakest was fiscal Q3 2023, with a drop of 15.81 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 13.69% (Q2 2026), 8.40% (Q1 2026) and 8.68% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 20.91% |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 29.51% |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 14.72% |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 16.32% |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 23.86% |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 19.48% |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 26.92% |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 15.14% |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 26.67% |
| 10 | Toro | 9.34 Bn | 8.45 Bn | 418.10 Mn | 9.40% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.40% |
| May 1, 2026 | 13.69% |
| Jan 30, 2026 | 8.40% |
| Oct 31, 2025 | 8.68% |
| Aug 1, 2025 | 5.73% |
| May 2, 2025 | 13.26% |
| Jan 31, 2025 | 7.82% |
| Oct 31, 2024 | 10.13% |
| Aug 2, 2024 | 12.80% |
| May 3, 2024 | 13.91% |
| Feb 2, 2024 | 8.84% |
| Oct 31, 2023 | 9.62% |
| Aug 4, 2023 | -1.77% |
| May 5, 2023 | 16.34% |
| Feb 3, 2023 | 11.87% |
| Oct 31, 2022 | 12.84% |
| Jul 29, 2022 | 14.05% |
| Apr 29, 2022 | 13.65% |
| Jan 28, 2022 | 9.82% |
| Oct 31, 2021 | 7.72% |
Toro 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=TTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TTC", "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=TTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();