Ptc (PTC) Total Current Liabilities (2009 - 2026)
Ptc (PTC) posted Total Current Liabilities of $1.34 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 9.1% from $1.23 billion a year earlier and up 9.8% from the prior quarter.
Ptc (PTC) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Ptc's Total Current Liabilities came in at $1.24 billion, down 25.8% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 12.7% (FY2020 to FY2025).
- In prior fiscal years, Ptc's Total Current Liabilities was $1.67 billion in FY2024 (-0.2%), $1.67 billion in FY2023 (+110.9%), $792.26 million in FY2022 (+1.7%) and $779.28 million in FY2021 (+14.5%).
- The fiscal Q3 2026 figure stands as the highest quarterly Total Current Liabilities since fiscal Q1 2025.
- On a year-over-year basis, Total Current Liabilities increased in three of the last eight quarters, with an average decline of 2.5%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q4 2023, with growth of 110.9%; the weakest was fiscal Q1 2026, with a decline of 27.1%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $1.22 billion (Q2 2026), $1.14 billion (Q1 2026) and $1.24 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,170.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.46 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 968.09 Mn |
| 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 | 1.34 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 1.41 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 577.83 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 475.05 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 747.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 988.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.34 Bn |
| Mar 31, 2026 | 1.22 Bn |
| Dec 31, 2025 | 1.14 Bn |
| Sep 30, 2025 | 1.24 Bn |
| Jun 30, 2025 | 1.23 Bn |
| Mar 31, 2025 | 1.15 Bn |
| Dec 31, 2024 | 1.56 Bn |
| Sep 30, 2024 | 1.67 Bn |
| Jun 30, 2024 | 1.57 Bn |
| Mar 31, 2024 | 1.52 Bn |
| Dec 31, 2023 | 950.33 Mn |
| Sep 30, 2023 | 1.67 Bn |
| Jun 30, 2023 | 1.61 Bn |
| Mar 31, 2023 | 1.59 Bn |
| Dec 31, 2022 | 786.74 Mn |
| Sep 30, 2022 | 792.26 Mn |
| Jun 30, 2022 | 769.67 Mn |
| Mar 31, 2022 | 782.38 Mn |
| Dec 31, 2021 | 779.98 Mn |
| Sep 30, 2021 | 779.28 Mn |
Ptc Total 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-current-liabilities&ticker=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();