Ptc (PTC) Return on Sales [ROS] (2009 - 2026)
Ptc (PTC) posted Return on Sales [ROS] of 27.75% for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 4.84 percentage points from 32.59% a year earlier and down 10.45 percentage points from the prior quarter.
Ptc (PTC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Ptc was 37.81%, up 7.77 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it came in at 35.86%, up 10.28 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +21.41 percentage points (FY2020 to FY2025).
- In prior fiscal years, Ptc's Return on Sales [ROS] was 25.58% in FY2024 (+3.72 pp), 21.86% in FY2023 (-1.28 pp), 23.14% in FY2022 (+2.07 pp) and 21.07% in FY2021 (+6.61 pp).
- The fiscal Q3 2026 figure stands as the lowest quarterly Return on Sales [ROS] since fiscal Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +6.84 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q4 2025, with a gain of 17.55 percentage points; the weakest was fiscal Q2 2023, with a drop of 8.91 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 38.20% (Q2 2026), 32.24% (Q1 2026) and 48.51% (Q4 2025).
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.75% |
| Mar 31, 2026 | 38.20% |
| Dec 31, 2025 | 32.24% |
| Sep 30, 2025 | 48.51% |
| Jun 30, 2025 | 32.59% |
| Mar 31, 2025 | 35.12% |
| Dec 31, 2024 | 20.44% |
| Sep 30, 2024 | 30.96% |
| Jun 30, 2024 | 18.48% |
| Mar 31, 2024 | 29.77% |
| Dec 31, 2023 | 21.58% |
| Sep 30, 2023 | 22.16% |
| Jun 30, 2023 | 20.26% |
| Mar 31, 2023 | 22.60% |
| Dec 31, 2022 | 22.52% |
| Sep 30, 2022 | 28.75% |
| Jun 30, 2022 | 17.29% |
| Mar 31, 2022 | 31.51% |
| Dec 31, 2021 | 13.58% |
| Sep 30, 2021 | 23.95% |
Ptc 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=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "PTC", "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=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();