Ptc (PTC) Research & Development (2009 - 2026)
Ptc (PTC) posted Research & Development of $115.71 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.8% from $116.65 million a year earlier and down 6.8% from the prior quarter.
Ptc (PTC) Research & Development (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Ptc was $474.33 million, up 4.7% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $457.69 million, up 5.7% from FY2024.
- Annual Research & Development has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In prior fiscal years, Ptc's Research & Development was $433.05 million in FY2024 (+9.8%), $394.37 million in FY2023 (+16.4%), $338.82 million in FY2022 (+13.0%) and $299.92 million in FY2021 (+16.9%).
- Quarterly Research & Development has run from a low of $78.4 million in fiscal Q4 2021 to a high of $124.13 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Research & Development increased in seven of the last eight quarters, with growth averaging 5.7%.
- The strongest year-over-year quarter for Research & Development in the past five years was fiscal Q2 2023, with growth of 22.5%; the weakest was fiscal Q3 2026, with a decline of 0.8%.
- According to Business Quant data, Research & Development for the three prior fiscal quarters was $124.13 million (Q2 2026), $119.98 million (Q1 2026) and $114.51 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 222.92 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 102.56 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 109.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 115.71 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 177.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 92.20 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 34.77 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 107.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 82.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 115.71 Mn |
| Mar 31, 2026 | 124.13 Mn |
| Dec 31, 2025 | 119.98 Mn |
| Sep 30, 2025 | 114.51 Mn |
| Jun 30, 2025 | 116.65 Mn |
| Mar 31, 2025 | 111.02 Mn |
| Dec 31, 2024 | 115.52 Mn |
| Sep 30, 2024 | 110.01 Mn |
| Jun 30, 2024 | 110.25 Mn |
| Mar 31, 2024 | 107.00 Mn |
| Dec 31, 2023 | 105.78 Mn |
| Sep 30, 2023 | 102.03 Mn |
| Jun 30, 2023 | 103.82 Mn |
| Mar 31, 2023 | 100.35 Mn |
| Dec 31, 2022 | 88.18 Mn |
| Sep 30, 2022 | 88.18 Mn |
| Jun 30, 2022 | 88.17 Mn |
| Mar 31, 2022 | 81.94 Mn |
| Dec 31, 2021 | 80.53 Mn |
| Sep 30, 2021 | 78.40 Mn |
Ptc Research & Development 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=research-and-development&ticker=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();