Ptc (PTC) Amortization - Intangibles (2009 - 2026)
Ptc's Amortization - Intangibles came in at $11.99 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 3.9% from $11.54 million a year earlier but down 0.2% from the prior quarter.
Ptc (PTC) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ptc reported Amortization - Intangibles of $47.67 million, up 6.1% year-over-year; for FY2025 (ended Sep 30, 2025), it was $45.95 million, up 9.4% from FY2024.
- Amortization - Intangibles has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 9.9% (FY2020 to FY2025).
- Going back by fiscal year, Amortization - Intangibles was $42.02 million in FY2024 (+5.0%), $40.02 million in FY2023 (+14.4%), $34.97 million in FY2022 (+19.0%) and $29.4 million in FY2021 (+2.4%).
- The five-year range for quarterly Amortization - Intangibles is $7.69 million (fiscal Q4 2021) to $12.07 million (fiscal Q1 2026).
- Year-over-year, Amortization - Intangibles has increased for seven consecutive quarters, with growth averaging 6.4% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in fiscal Q1 2022 (growth of 29.6%), and the weakest in fiscal Q1 2023 (a decline of 5.4%).
- Business Quant data shows PTC's Amortization - Intangibles at $12.01 million (Q2 2026), $12.07 million (Q1 2026) and $11.59 million (Q4 2025) in the three fiscal quarters before Q3 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.99 Mn |
| Mar 31, 2026 | 12.01 Mn |
| Dec 31, 2025 | 12.07 Mn |
| Sep 30, 2025 | 11.59 Mn |
| Jun 30, 2025 | 11.54 Mn |
| Mar 31, 2025 | 11.38 Mn |
| Dec 31, 2024 | 11.44 Mn |
| Sep 30, 2024 | 10.56 Mn |
| Jun 30, 2024 | 10.67 Mn |
| Mar 31, 2024 | 10.42 Mn |
| Dec 31, 2023 | 10.36 Mn |
| Sep 30, 2023 | 10.67 Mn |
| Jun 30, 2023 | 10.67 Mn |
| Mar 31, 2023 | 10.66 Mn |
| Dec 31, 2022 | 8.03 Mn |
| Sep 30, 2022 | 9.11 Mn |
| Jun 30, 2022 | 8.93 Mn |
| Mar 31, 2022 | 8.45 Mn |
| Dec 31, 2021 | 8.48 Mn |
| Sep 30, 2021 | 7.69 Mn |
Ptc Amortization - Intangibles 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=amortization-intangibles&ticker=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();