Ptc (PTC) Operating Leases (2019 - 2026)
Ptc's Operating Leases came in at $160.31 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.6% from $153.2 million a year earlier and unchanged from the prior quarter.
Ptc (PTC) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Ptc's Operating Leases was $148.25 million, down 5.9% from FY2024.
- Operating Leases carries a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- Going back by fiscal year, Operating Leases was $157.57 million in FY2024 (-6.5%), $168.46 million in FY2023 (+0.5%), $167.57 million in FY2022 (-7.4%) and $180.94 million in FY2021 (+0.3%).
- The fiscal Q3 2026 figure represents the highest quarterly Operating Leases since fiscal Q2 2024.
- Year-over-year, Operating Leases has increased for three consecutive quarters, with an average decline of 1.7% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q3 2026 (growth of 4.6%), and the weakest in fiscal Q2 2024 (a decline of 9.1%).
- Business Quant data shows PTC's Operating Leases at $160.28 million (Q2 2026), $160.11 million (Q1 2026) and $148.25 million (Q4 2025) in the three fiscal quarters before Q3 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 160.31 Mn |
| Mar 31, 2026 | 160.28 Mn |
| Dec 31, 2025 | 160.11 Mn |
| Sep 30, 2025 | 148.25 Mn |
| Jun 30, 2025 | 153.20 Mn |
| Mar 31, 2025 | 153.79 Mn |
| Dec 31, 2024 | 153.33 Mn |
| Sep 30, 2024 | 157.57 Mn |
| Jun 30, 2024 | 156.99 Mn |
| Mar 31, 2024 | 160.95 Mn |
| Dec 31, 2023 | 166.46 Mn |
| Sep 30, 2023 | 168.46 Mn |
| Jun 30, 2023 | 171.78 Mn |
| Mar 31, 2023 | 177.11 Mn |
| Dec 31, 2022 | 177.11 Mn |
| Sep 30, 2022 | 167.57 Mn |
| Jun 30, 2022 | 172.76 Mn |
| Mar 31, 2022 | 178.62 Mn |
| Dec 31, 2021 | 179.49 Mn |
| Sep 30, 2021 | 180.94 Mn |
Ptc Operating Leases 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-leases&ticker=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();