Ptc (PTC) Cost of Revenue (2009 - 2026)
Ptc's Cost of Revenue was $109.58 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 0.4% from $110.03 million a year earlier and down 3.6% from the prior quarter.
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Analysis
Ptc (PTC) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ptc's Cost of Revenue was $457.85 million through Jun 30, 2026, up 3.8% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $444.98 million, unchanged from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In earlier fiscal years, Cost of Revenue was $444.82 million in FY2024 (+0.9%), $441.01 million in FY2023 (+14.3%), $385.98 million in FY2022 (+4.0%) and $371.1 million in FY2021 (+11.0%).
- The fiscal Q3 2026 figure marks the lowest quarterly Cost of Revenue since fiscal Q2 2025.
- Compared with a year earlier, Cost of Revenue was higher in four of the last eight quarters, with growth averaging 1.2%.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q2 2023 (growth of 21.6%); the worst was fiscal Q4 2022 (a decline of 4.2%).
- Per Business Quant data, PTC's Cost of Revenue in the three fiscal quarters before Q3 2026 was $113.62 million (Q2 2026), $117.75 million (Q1 2026) and $116.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 232.01 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 115.86 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 1.39 Bn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 109.58 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 81.71 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 297.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 129.46 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 197.00 Mn |
| 10 | Bentley Systems | 9.73 Bn | 9.19 Bn | 336.74 Mn | 73.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.58 Mn |
| Mar 31, 2026 | 113.62 Mn |
| Dec 31, 2025 | 117.75 Mn |
| Sep 30, 2025 | 116.90 Mn |
| Jun 30, 2025 | 110.03 Mn |
| Mar 31, 2025 | 106.26 Mn |
| Dec 31, 2024 | 111.80 Mn |
| Sep 30, 2024 | 112.83 Mn |
| Jun 30, 2024 | 111.92 Mn |
| Mar 31, 2024 | 110.06 Mn |
| Dec 31, 2023 | 110.02 Mn |
| Sep 30, 2023 | 115.86 Mn |
| Jun 30, 2023 | 115.85 Mn |
| Mar 31, 2023 | 113.51 Mn |
| Dec 31, 2022 | 95.79 Mn |
| Sep 30, 2022 | 95.53 Mn |
| Jun 30, 2022 | 102.00 Mn |
| Mar 31, 2022 | 93.34 Mn |
| Dec 31, 2021 | 95.12 Mn |
| Sep 30, 2021 | 99.75 Mn |
API Access
Ptc Cost of Revenue 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=cost-of-revenue&ticker=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();