Ptc (PTC) Change in Receivables (2009 - 2026)
Ptc (PTC) posted Change in Receivables of -$22.77 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with -$45.59 million a year earlier.
Ptc (PTC) Change in Receivables (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Receivables at Ptc was $136.43 million; for FY2025 (ended Sep 30, 2025), it was $121.05 million, up 249.6% from FY2024.
- Annual Change in Receivables shows a five-year compound annual growth rate of 30.2% (FY2020 to FY2025).
- In prior fiscal years, Ptc's Change in Receivables was $34.63 million in FY2024 (-64.9%), $98.61 million in FY2023 (-40.2%), $165.01 million in FY2022 (+38.2%) and $119.42 million in FY2021 (+269.0%).
- Quarterly Change in Receivables has run from a low of -$191.99 million in fiscal Q1 2026 to a high of $294.61 million in fiscal Q4 2025 over five years.
- The strongest year-over-year quarter for Change in Receivables in the past five years was fiscal Q2 2024, with growth of 144.0%; the weakest was fiscal Q2 2025, with a decline of 92.7%.
- According to Business Quant data, Change in Receivables for the three prior fiscal quarters was $56.57 million (Q2 2026), -$191.99 million (Q1 2026) and $294.61 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | -71.70 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 53.12 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 7.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | -22.77 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 5.89 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | -16.30 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | -7.79 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | -8.00 Mn |
| 10 | Bentley Systems | 9.64 Bn | 9.10 Bn | 336.74 Mn | 23.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.77 Mn |
| Mar 31, 2026 | 56.57 Mn |
| Dec 31, 2025 | -191.99 Mn |
| Sep 30, 2025 | 294.61 Mn |
| Jun 30, 2025 | -45.59 Mn |
| Mar 31, 2025 | 3.38 Mn |
| Dec 31, 2024 | -131.35 Mn |
| Sep 30, 2024 | 166.05 Mn |
| Jun 30, 2024 | -23.92 Mn |
| Mar 31, 2024 | 46.44 Mn |
| Dec 31, 2023 | -153.95 Mn |
| Sep 30, 2023 | 198.13 Mn |
| Jun 30, 2023 | -13.04 Mn |
| Mar 31, 2023 | 19.03 Mn |
| Dec 31, 2022 | -105.51 Mn |
| Sep 30, 2022 | 190.23 Mn |
| Jun 30, 2022 | -12.92 Mn |
| Mar 31, 2022 | 45.01 Mn |
| Dec 31, 2021 | -57.32 Mn |
| Sep 30, 2021 | 115.31 Mn |
Ptc Change in Receivables 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-receivables&ticker=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();