Ptc (PTC) Tax Provisions (2009 - 2026)
Ptc's Tax Provisions was $33.66 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 35.7% from $52.35 million a year earlier and down 78.4% from the prior quarter.
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Analysis
Ptc (PTC) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ptc's Tax Provisions was $306.5 million through Jun 30, 2026, up 104.9% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $186.18 million, up 101.0% from FY2024.
- Tax Provisions has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 115.4% (FY2020 to FY2025).
- In earlier fiscal years, Tax Provisions was $92.63 million in FY2024 (+6.4%), $87.03 million in FY2023 (+3.6%), $84.02 million in FY2022 and -$85.17 million in FY2021.
- The fiscal Q3 2026 figure marks the lowest quarterly Tax Provisions since fiscal Q1 2025.
- Compared with a year earlier, Tax Provisions was higher in five of the last seven quarters, with growth averaging 77.6%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q3 2022 (growth of 317.0%); the worst was fiscal Q1 2022 (a decline of 82.8%).
- Per Business Quant data, PTC's Tax Provisions in the three fiscal quarters before Q3 2026 was $156.08 million (Q2 2026), $36.46 million (Q1 2026) and $80.31 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 76.10 Mn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.30 Mn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 8.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 33.66 Mn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 26.90 Mn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 12.21 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 16.86 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 19.00 Mn |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | 16.61 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.66 Mn |
| Mar 31, 2026 | 156.08 Mn |
| Dec 31, 2025 | 36.46 Mn |
| Sep 30, 2025 | 80.31 Mn |
| Jun 30, 2025 | 52.35 Mn |
| Mar 31, 2025 | 42.61 Mn |
| Dec 31, 2024 | 10.92 Mn |
| Sep 30, 2024 | 43.72 Mn |
| Jun 30, 2024 | -1.61 Mn |
| Mar 31, 2024 | 31.30 Mn |
| Dec 31, 2023 | 19.21 Mn |
| Sep 30, 2023 | 42.94 Mn |
| Jun 30, 2023 | 15.13 Mn |
| Mar 31, 2023 | 17.57 Mn |
| Dec 31, 2022 | 11.39 Mn |
| Sep 30, 2022 | 30.54 Mn |
| Jun 30, 2022 | 30.30 Mn |
| Mar 31, 2022 | 13.89 Mn |
| Dec 31, 2021 | 9.29 Mn |
| Sep 30, 2021 | -123.42 Mn |
API Access
Ptc Tax Provisions 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=tax-provisions&ticker=PTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();