Ptc (PTC) Other Operating Expenses (2009 - 2026)
Ptc (PTC) reported Other Operating Expenses of $148.28 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 3.3% from $153.29 million a year earlier and down 2.5% from the prior quarter.
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Analysis
Ptc (PTC) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Ptc's Other Operating Expenses came in at $607.14 million, down 1.5% year-over-year; for FY2025 (ended Sep 30, 2025), it was $612.46 million, up 1.9% from FY2024.
- Other Operating Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- By fiscal year, Other Operating Expenses came in at $600.97 million in FY2024 (+5.4%), $570.15 million in FY2023 (+9.6%), $520.22 million in FY2022 (-4.9%) and $547.18 million in FY2021 (+17.9%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Other Operating Expenses since fiscal Q2 2025.
- Year over year, Other Operating Expenses gained in four of the last eight quarters, with growth averaging 1.6%.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q3 2023 (growth of 16.9%); the low point was fiscal Q1 2026 (a decline of 9.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $152.11 million (Q2 2026), $152.96 million (Q1 2026) and $153.79 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 148.28 Mn |
| Mar 31, 2026 | 152.11 Mn |
| Dec 31, 2025 | 152.96 Mn |
| Sep 30, 2025 | 153.79 Mn |
| Jun 30, 2025 | 153.29 Mn |
| Mar 31, 2025 | 136.41 Mn |
| Dec 31, 2024 | 168.97 Mn |
| Sep 30, 2024 | 157.75 Mn |
| Jun 30, 2024 | 150.99 Mn |
| Mar 31, 2024 | 144.95 Mn |
| Dec 31, 2023 | 147.29 Mn |
| Sep 30, 2023 | 148.12 Mn |
| Jun 30, 2023 | 155.75 Mn |
| Mar 31, 2023 | 139.86 Mn |
| Dec 31, 2022 | 126.41 Mn |
| Sep 30, 2022 | 128.14 Mn |
| Jun 30, 2022 | 133.26 Mn |
| Mar 31, 2022 | 124.86 Mn |
| Dec 31, 2021 | 133.96 Mn |
| Sep 30, 2021 | 137.17 Mn |
API Access
Ptc Other 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=other-operating-expenses&ticker=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();