Ptc (PTC) EBIT (2009 - 2026)
Ptc (PTC) recorded EBIT of $166.51 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 20.6% from $209.83 million a year earlier and down 43.7% from the prior quarter.
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Analysis
Ptc (PTC) EBIT (2009 - 2026) Analysis & Trends
On a TTM basis, Ptc's EBIT came in at $1.12 billion as of Jun 30, 2026, up 50.4% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $982.39 million, up 67.1% from FY2024.
- Annual EBIT has increased for six straight fiscal years, with a five-year compound annual growth rate of 36.0% (FY2020 to FY2025).
- Across earlier fiscal years, EBIT came in at $588.06 million in FY2024 (+28.3%), $458.47 million in FY2023 (+2.5%), $447.36 million in FY2022 (+17.5%) and $380.75 million in FY2021 (+80.6%).
- The fiscal Q3 2026 figure is the lowest quarterly EBIT since fiscal Q1 2025.
- On a year-over-year basis, EBIT rose in six of the last eight quarters, with growth averaging 53.4%.
- Peak year-over-year performance for EBIT in the last five years was growth of 123.5% in fiscal Q4 2025, against a decline of 31.2% in fiscal Q1 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $295.8 million (Q2 2026), $221.13 million (Q1 2026) and $433.57 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | -178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 275.02 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 4.88 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 152.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 166.51 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 132.00 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 33.95 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 66.23 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 76.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 88.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 166.51 Mn |
| Mar 31, 2026 | 295.80 Mn |
| Dec 31, 2025 | 221.13 Mn |
| Sep 30, 2025 | 433.57 Mn |
| Jun 30, 2025 | 209.83 Mn |
| Mar 31, 2025 | 223.46 Mn |
| Dec 31, 2024 | 115.52 Mn |
| Sep 30, 2024 | 193.97 Mn |
| Jun 30, 2024 | 95.82 Mn |
| Mar 31, 2024 | 179.56 Mn |
| Dec 31, 2023 | 118.71 Mn |
| Sep 30, 2023 | 121.13 Mn |
| Jun 30, 2023 | 109.90 Mn |
| Mar 31, 2023 | 122.54 Mn |
| Dec 31, 2022 | 104.90 Mn |
| Sep 30, 2022 | 146.02 Mn |
| Jun 30, 2022 | 79.98 Mn |
| Mar 31, 2022 | 159.19 Mn |
| Dec 31, 2021 | 62.18 Mn |
| Sep 30, 2021 | 115.14 Mn |
API Access
Ptc EBIT 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=ebit&ticker=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();