Ptc (PTC) Total Liabilities (2009 - 2026)
Ptc (PTC) posted Total Liabilities of $3.04 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 12.1% from $2.72 billion a year earlier and up 13.7% from the prior quarter.
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Analysis
Ptc (PTC) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Ptc's Total Liabilities came in at $2.79 billion, down 11.9% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 7.5% (FY2020 to FY2025).
- In prior fiscal years, Ptc's Total Liabilities was $3.17 billion in FY2024 (-12.2%), $3.61 billion in FY2023 (+51.0%), $2.39 billion in FY2022 (-3.2%) and $2.47 billion in FY2021 (+27.0%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Liabilities since fiscal Q4 2024.
- On a year-over-year basis, Total Liabilities increased in 1 of the last eight quarters, with an average decline of 8.8%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2023, with growth of 64.8%; the weakest was fiscal Q1 2025, with a decline of 17.9%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $2.68 billion (Q2 2026), $2.58 billion (Q1 2026) and $2.79 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 3.43 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 664.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 2.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.04 Bn |
| Mar 31, 2026 | 2.68 Bn |
| Dec 31, 2025 | 2.58 Bn |
| Sep 30, 2025 | 2.79 Bn |
| Jun 30, 2025 | 2.72 Bn |
| Mar 31, 2025 | 2.78 Bn |
| Dec 31, 2024 | 2.85 Bn |
| Sep 30, 2024 | 3.17 Bn |
| Jun 30, 2024 | 3.11 Bn |
| Mar 31, 2024 | 3.26 Bn |
| Dec 31, 2023 | 3.46 Bn |
| Sep 30, 2023 | 3.61 Bn |
| Jun 30, 2023 | 3.61 Bn |
| Mar 31, 2023 | 3.78 Bn |
| Dec 31, 2022 | 2.40 Bn |
| Sep 30, 2022 | 2.39 Bn |
| Jun 30, 2022 | 2.45 Bn |
| Mar 31, 2022 | 2.29 Bn |
| Dec 31, 2021 | 2.47 Bn |
| Sep 30, 2021 | 2.47 Bn |
API Access
Ptc Total 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-liabilities&ticker=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();