Ptc (PTC) Other Non-Current Liabilities (2009 - 2026)
Ptc's Other Non-Current Liabilities was $104.71 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 44.0% from $72.69 million a year earlier and up 28.9% from the prior quarter.
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Analysis
Ptc (PTC) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Other Non-Current Liabilities at Ptc came in at $187.91 million, up 194.4% from FY2024.
- Other Non-Current Liabilities has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 27.4% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Liabilities was $63.83 million in FY2024 (+60.3%), $39.81 million in FY2023 (+11.1%), $35.83 million in FY2022 (-27.9%) and $49.69 million in FY2021 (-11.2%).
- Quarterly Other Non-Current Liabilities has moved between $32.87 million (fiscal Q2 2023) and $187.91 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has increased for 12 straight quarters, with growth averaging 65.2% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q4 2025 (growth of 194.4%); the worst was fiscal Q1 2023 (a decline of 28.9%).
- Per Business Quant data, PTC's Other Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $81.24 million (Q2 2026), $73.32 million (Q1 2026) and $187.91 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 | 104.71 Mn |
| Mar 31, 2026 | 81.24 Mn |
| Dec 31, 2025 | 73.32 Mn |
| Sep 30, 2025 | 187.91 Mn |
| Jun 30, 2025 | 72.69 Mn |
| Mar 31, 2025 | 64.81 Mn |
| Dec 31, 2024 | 61.62 Mn |
| Sep 30, 2024 | 63.83 Mn |
| Jun 30, 2024 | 40.49 Mn |
| Mar 31, 2024 | 41.80 Mn |
| Dec 31, 2023 | 42.82 Mn |
| Sep 30, 2023 | 39.81 Mn |
| Jun 30, 2023 | 33.13 Mn |
| Mar 31, 2023 | 32.87 Mn |
| Dec 31, 2022 | 33.35 Mn |
| Sep 30, 2022 | 35.83 Mn |
| Jun 30, 2022 | 42.37 Mn |
| Mar 31, 2022 | 46.09 Mn |
| Dec 31, 2021 | 46.89 Mn |
| Sep 30, 2021 | 49.69 Mn |
API Access
Ptc Other 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=other-non-current-liabilities&ticker=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();