Ptc (PTC) Return on Assets [ROA] (2010 - 2026)
Ptc's Return on Assets [ROA] was 18.75% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 10.48 percentage points from 8.28% a year earlier but down 0.47 percentage points from the prior quarter.
Ptc (PTC) Return on Assets [ROA] (2010 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Return on Assets [ROA] at Ptc came in at 11.29%, up 5.35 percentage points from FY2024.
- Return on Assets [ROA] shows a five-year change of +6.97 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Assets [ROA] was 5.94% in FY2024 (+1.47 pp), 4.47% in FY2023 (-2.34 pp), 6.81% in FY2022 (-5.28 pp) and 12.09% in FY2021 (+7.77 pp).
- Quarterly Return on Assets [ROA] has moved between 3.77% (fiscal Q1 2024) and 19.23% (fiscal Q2 2026) over five years.
- Compared with a year earlier, Return on Assets [ROA] has increased for eight straight quarters, with an average year-over-year change of +5.61 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Assets [ROA] over five years was fiscal Q2 2026 (a gain of 12.03 percentage points); the worst was fiscal Q3 2023 (a drop of 6.21 percentage points).
- Per Business Quant data, PTC's Return on Assets [ROA] in the three fiscal quarters before Q3 2026 was 19.23% (Q2 2026), 12.55% (Q1 2026) and 11.43% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -10,997.11% |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 11.16% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 3.36% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 15.49% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 18.75% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -1.19% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 19.88% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 29.22% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 0.73% |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 8.16% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.75% |
| Mar 31, 2026 | 19.23% |
| Dec 31, 2025 | 12.55% |
| Sep 30, 2025 | 11.43% |
| Jun 30, 2025 | 8.28% |
| Mar 31, 2025 | 7.20% |
| Dec 31, 2024 | 6.30% |
| Sep 30, 2024 | 6.02% |
| Jun 30, 2024 | 4.79% |
| Mar 31, 2024 | 4.61% |
| Dec 31, 2023 | 3.77% |
| Sep 30, 2023 | 3.93% |
| Jun 30, 2023 | 4.91% |
| Mar 31, 2023 | 5.69% |
| Dec 31, 2022 | 7.21% |
| Sep 30, 2022 | 6.74% |
| Jun 30, 2022 | 11.11% |
| Mar 31, 2022 | 10.91% |
| Dec 31, 2021 | 11.19% |
| Sep 30, 2021 | 10.95% |
Ptc Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();