Ptc (PTC) Cash & Equivalents (2009 - 2026)
Ptc's Cash & Equivalents was $351.45 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 76.3% from $199.32 million a year earlier but down 20.0% from the prior quarter.
Ptc (PTC) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Cash & Equivalents at Ptc came in at $184.42 million, down 30.6% from FY2024.
- Cash & Equivalents shows a five-year compound annual growth rate of -7.7% (FY2020 to FY2025).
- In earlier fiscal years, Cash & Equivalents was $265.81 million in FY2024 (-7.7%), $288.1 million in FY2023 (+5.8%), $272.18 million in FY2022 (-16.6%) and $326.53 million in FY2021 (+18.5%).
- Quarterly Cash & Equivalents has moved between $184.42 million (fiscal Q4 2025) and $439.11 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Cash & Equivalents has increased for three straight quarters, with growth averaging 10.1% over the last eight quarters.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q2 2026 (growth of 86.7%); the worst was fiscal Q1 2024 (a decline of 31.6%).
- Per Business Quant data, PTC's Cash & Equivalents in the three fiscal quarters before Q3 2026 was $439.11 million (Q2 2026), $209.74 million (Q1 2026) and $184.42 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 1.02 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 351.45 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 214.40 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 1.18 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 186.11 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 1.27 Bn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 146.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 351.45 Mn |
| Mar 31, 2026 | 439.11 Mn |
| Dec 31, 2025 | 209.74 Mn |
| Sep 30, 2025 | 184.42 Mn |
| Jun 30, 2025 | 199.32 Mn |
| Mar 31, 2025 | 235.17 Mn |
| Dec 31, 2024 | 196.34 Mn |
| Sep 30, 2024 | 265.81 Mn |
| Jun 30, 2024 | 247.75 Mn |
| Mar 31, 2024 | 248.97 Mn |
| Dec 31, 2023 | 265.00 Mn |
| Sep 30, 2023 | 288.10 Mn |
| Jun 30, 2023 | 281.51 Mn |
| Mar 31, 2023 | 320.48 Mn |
| Dec 31, 2022 | 387.59 Mn |
| Sep 30, 2022 | 272.18 Mn |
| Jun 30, 2022 | 322.33 Mn |
| Mar 31, 2022 | 306.70 Mn |
| Dec 31, 2021 | 296.13 Mn |
| Sep 30, 2021 | 326.53 Mn |
Ptc Cash & Equivalents 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=cash-and-equivalents&ticker=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();