Ptc (PTC) EBITDA (2009 - 2026)
Ptc (PTC) posted EBITDA of $190.7 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 19.0% from $235.37 million a year earlier and down 40.5% from the prior quarter.
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Analysis
Ptc (PTC) EBITDA (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Ptc was $1.22 billion, up 43.8% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $1.08 billion, up 55.8% from FY2024.
- Annual EBITDA has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- In prior fiscal years, Ptc's EBITDA was $696.18 million in FY2024 (+23.6%), $563.23 million in FY2023 (+5.3%), $535.06 million in FY2022 (+14.8%) and $465.99 million in FY2021 (+59.8%).
- The fiscal Q3 2026 figure stands as the lowest quarterly EBITDA since fiscal Q1 2025.
- On a year-over-year basis, EBITDA increased in six of the last eight quarters, with growth averaging 43.6%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2025, with growth of 108.0%; the weakest was fiscal Q1 2022, with a decline of 22.8%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $320.49 million (Q2 2026), $246.43 million (Q1 2026) and $459.27 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 290.79 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 13.29 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 188.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 190.70 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 183.10 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 38.19 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 67.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 191.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 104.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 190.70 Mn |
| Mar 31, 2026 | 320.49 Mn |
| Dec 31, 2025 | 246.43 Mn |
| Sep 30, 2025 | 459.27 Mn |
| Jun 30, 2025 | 235.37 Mn |
| Mar 31, 2025 | 248.90 Mn |
| Dec 31, 2024 | 141.35 Mn |
| Sep 30, 2024 | 220.82 Mn |
| Jun 30, 2024 | 122.95 Mn |
| Mar 31, 2024 | 206.48 Mn |
| Dec 31, 2023 | 145.94 Mn |
| Sep 30, 2023 | 148.95 Mn |
| Jun 30, 2023 | 137.81 Mn |
| Mar 31, 2023 | 150.25 Mn |
| Dec 31, 2022 | 126.23 Mn |
| Sep 30, 2022 | 168.26 Mn |
| Jun 30, 2022 | 101.97 Mn |
| Mar 31, 2022 | 180.57 Mn |
| Dec 31, 2021 | 84.27 Mn |
| Sep 30, 2021 | 137.71 Mn |
API Access
Ptc EBITDA 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=ebitda&ticker=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();