Ptc (PTC) Prepaid Assets (2009 - 2026)
Ptc (PTC) reported Prepaid Assets of $114.72 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 4.5% from $109.76 million a year earlier but down 14.4% from the prior quarter.
Powered by 
Analysis
Ptc (PTC) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Ptc posted Prepaid Assets of $119.11 million, up 15.7% from FY2024.
- Prepaid Assets has increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- By fiscal year, Prepaid Assets came in at $102.93 million in FY2024 (+7.2%), $96.02 million in FY2023 (+8.1%), $88.85 million in FY2022 (+27.0%) and $69.99 million in FY2021 (+0.8%).
- Five-year quarterly Prepaid Assets spans a low of $69.99 million in fiscal Q4 2021 and a high of $158.52 million in fiscal Q1 2026.
- Year over year, Prepaid Assets has now increased in each of the last five quarters, with growth averaging 7.3% over the last eight quarters.
- The high point for year-over-year Prepaid Assets in five years was fiscal Q1 2026 (growth of 34.4%); the low point was fiscal Q2 2025 (a decline of 16.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $134.08 million (Q2 2026), $158.52 million (Q1 2026) and $119.11 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 | 114.72 Mn |
| Mar 31, 2026 | 134.08 Mn |
| Dec 31, 2025 | 158.52 Mn |
| Sep 30, 2025 | 119.11 Mn |
| Jun 30, 2025 | 109.76 Mn |
| Mar 31, 2025 | 114.62 Mn |
| Dec 31, 2024 | 117.90 Mn |
| Sep 30, 2024 | 102.93 Mn |
| Jun 30, 2024 | 109.37 Mn |
| Mar 31, 2024 | 137.39 Mn |
| Dec 31, 2023 | 123.16 Mn |
| Sep 30, 2023 | 96.02 Mn |
| Jun 30, 2023 | 118.87 Mn |
| Mar 31, 2023 | 119.30 Mn |
| Dec 31, 2022 | 110.39 Mn |
| Sep 30, 2022 | 88.85 Mn |
| Jun 30, 2022 | 91.73 Mn |
| Mar 31, 2022 | 88.92 Mn |
| Dec 31, 2021 | 89.47 Mn |
| Sep 30, 2021 | 69.99 Mn |
API Access
Ptc Prepaid Assets 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=prepaid-assets&ticker=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();