Ptc (PTC) Total Non-Current Liabilities (2009 - 2026)
Ptc's Total Non-Current Liabilities was $2.94 billion in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 11.2% from $2.64 billion a year earlier and up 13.2% from the prior quarter.
Ptc (PTC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Total Non-Current Liabilities at Ptc came in at $2.6 billion, down 16.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $3.11 billion in FY2024 (-13.1%), $3.57 billion in FY2023 (+51.6%), $2.36 billion in FY2022 (-2.6%) and $2.42 billion in FY2021 (+28.1%).
- The fiscal Q3 2026 figure marks the highest quarterly Total Non-Current Liabilities since fiscal Q4 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 10.1%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q2 2023 (growth of 66.7%); the worst was fiscal Q1 2025 (a decline of 18.6%).
- Per Business Quant data, PTC's Total Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $2.6 billion (Q2 2026), $2.51 billion (Q1 2026) and $2.6 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 2.27 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.94 Bn |
| Mar 31, 2026 | 2.60 Bn |
| Dec 31, 2025 | 2.51 Bn |
| Sep 30, 2025 | 2.60 Bn |
| Jun 30, 2025 | 2.64 Bn |
| Mar 31, 2025 | 2.71 Bn |
| Dec 31, 2024 | 2.78 Bn |
| Sep 30, 2024 | 3.11 Bn |
| Jun 30, 2024 | 3.07 Bn |
| Mar 31, 2024 | 3.22 Bn |
| Dec 31, 2023 | 3.42 Bn |
| Sep 30, 2023 | 3.57 Bn |
| Jun 30, 2023 | 3.58 Bn |
| Mar 31, 2023 | 3.75 Bn |
| Dec 31, 2022 | 2.36 Bn |
| Sep 30, 2022 | 2.36 Bn |
| Jun 30, 2022 | 2.41 Bn |
| Mar 31, 2022 | 2.25 Bn |
| Dec 31, 2021 | 2.42 Bn |
| Sep 30, 2021 | 2.42 Bn |
Ptc Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();