Ptc (PTC) Operating Expenses (2009 - 2026)
Ptc's Operating Expenses came in at $323.96 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), unchanged from $324.08 million a year earlier and down 11.2% from the prior quarter.
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Analysis
Ptc (PTC) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ptc reported Operating Expenses of $1.38 billion, up 7.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was $1.31 billion, up 3.7% from FY2024.
- Operating Expenses has increased in each of the last eight fiscal years, with a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $1.27 billion in FY2024 (+5.7%), $1.2 billion in FY2023 (+8.9%), $1.1 billion in FY2022 (+4.2%) and $1.06 billion in FY2021 (+15.6%).
- The fiscal Q3 2026 figure represents the lowest quarterly Operating Expenses since fiscal Q2 2025.
- Year-over-year, Operating Expenses increased in six of the last eight quarters, with growth averaging 4.9%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2024 (growth of 21.2%), and the weakest in fiscal Q1 2023 (a decline of 11.7%).
- Business Quant data shows PTC's Operating Expenses at $364.88 million (Q2 2026), $346.95 million (Q1 2026) and $343.33 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 542.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 182.80 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 248.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 323.96 Mn |
| Mar 31, 2026 | 364.88 Mn |
| Dec 31, 2025 | 346.95 Mn |
| Sep 30, 2025 | 343.33 Mn |
| Jun 30, 2025 | 324.08 Mn |
| Mar 31, 2025 | 306.64 Mn |
| Dec 31, 2024 | 337.81 Mn |
| Sep 30, 2024 | 319.75 Mn |
| Jun 30, 2024 | 310.90 Mn |
| Mar 31, 2024 | 313.46 Mn |
| Dec 31, 2023 | 321.48 Mn |
| Sep 30, 2023 | 309.63 Mn |
| Jun 30, 2023 | 316.59 Mn |
| Mar 31, 2023 | 306.14 Mn |
| Dec 31, 2022 | 265.22 Mn |
| Sep 30, 2022 | 266.38 Mn |
| Jun 30, 2022 | 280.50 Mn |
| Mar 31, 2022 | 252.70 Mn |
| Dec 31, 2021 | 300.43 Mn |
| Sep 30, 2021 | 265.77 Mn |
API Access
Ptc Operating Expenses 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=operating-expenses&ticker=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();