Ptc (PTC) Change in Accured Expenses (2009 - 2026)
Ptc's Change in Accured Expenses came in at $133.18 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 849.1% from $14.03 million a year earlier.
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Analysis
Ptc (PTC) Change in Accured Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ptc reported Change in Accured Expenses of $256.78 million; for FY2025 (ended Sep 30, 2025), it came in at $20.53 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of 14.8% (FY2020 to FY2025).
- Going back by fiscal year, Change in Accured Expenses was -$24.37 million in FY2024, $15.92 million in FY2023 (+128.8%), $6.96 million in FY2022 (-72.3%) and $25.1 million in FY2021 (+144.1%).
- The fiscal Q3 2026 figure represents the highest quarterly Change in Accured Expenses in data going back to fiscal Q4 2009.
- The fastest year-over-year change in Change in Accured Expenses over five years came in fiscal Q3 2026 (growth of 849.1%), and the weakest in fiscal Q3 2025 (a decline of 75.4%).
- Business Quant data shows PTC's Change in Accured Expenses at $7.97 million (Q2 2026), $73.74 million (Q1 2026) and $41.9 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 50,912.00 |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | -10.50 Mn |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 34.27 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 57.00 Mn |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 133.18 Mn |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 1.20 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 42.10 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 20.69 Mn |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 33.00 Mn |
| 10 | Bentley Systems | 9.73 Bn | 9.19 Bn | 336.74 Mn | 21.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 133.18 Mn |
| Mar 31, 2026 | 7.97 Mn |
| Dec 31, 2025 | 73.74 Mn |
| Sep 30, 2025 | 41.90 Mn |
| Jun 30, 2025 | 14.03 Mn |
| Mar 31, 2025 | -22.21 Mn |
| Dec 31, 2024 | -13.19 Mn |
| Sep 30, 2024 | -33.03 Mn |
| Jun 30, 2024 | 57.01 Mn |
| Mar 31, 2024 | 2.86 Mn |
| Dec 31, 2023 | -51.20 Mn |
| Sep 30, 2023 | 9.96 Mn |
| Jun 30, 2023 | 24.43 Mn |
| Mar 31, 2023 | -938,000.00 |
| Dec 31, 2022 | -17.53 Mn |
| Sep 30, 2022 | 16.29 Mn |
| Jun 30, 2022 | 14.05 Mn |
| Mar 31, 2022 | -36.35 Mn |
| Dec 31, 2021 | 12.96 Mn |
| Sep 30, 2021 | 9.26 Mn |
API Access
Ptc Change in Accured Expenses 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=change-in-accured-expenses&ticker=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();