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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 232.01 Mn |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 115.86 Mn |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 109.58 Mn |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 1.44 Bn |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 131.89 Mn |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 71.96 Mn |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 307.70 Mn |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 211.00 Mn |
| 10 | Procore Technologies | 11.33 Bn | 8.70 Bn | 323.62 Mn | 78.70 Mn |
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 |
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_KEY
import 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();