Ptc (PTC) Restructuring Costs (2009 - 2025)
Ptc's Restructuring Costs was $11.43 million in fiscal Q4 2025 (quarter ended Sep 30, 2025).
Analysis
Ptc (PTC) Restructuring Costs (2009 - 2025) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Restructuring Costs at Ptc came in at $15.64 million.
- Restructuring Costs shows a five-year compound annual growth rate of -13.7% (FY2020 to FY2025).
- In earlier fiscal years, Restructuring Costs was -$802,000 in FY2024, -$460,000 in FY2023, $36.23 million in FY2022 and $2.21 million in FY2021 (-93.2%).
- The fiscal Q4 2025 figure marks the highest quarterly Restructuring Costs since fiscal Q1 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 51.57 Bn | 23.82 Bn | 695.95 Mn |
| 3 | Samsara | 23.54 Bn | 20.31 Bn | 392.58 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn |
| 5 | Toast | 18.20 Bn | 10.87 Bn | 516.00 Mn |
| 6 | Trimble | 13.96 Bn | 13.03 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.22 Bn | 12.21 Bn | 168.33 Mn |
| 8 | Costar | 12.85 Bn | 6.80 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.44 Bn | 10.90 Bn | 336.74 Mn |
| 10 | Procore Technologies | 8.75 Bn | 6.05 Bn | 299.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 11.43 Mn |
| Mar 31, 2025 | 4.21 Mn |
| Mar 31, 2024 | -7,000.00 |
| Dec 31, 2023 | -795,000.00 |
| Sep 30, 2023 | -84,000.00 |
| Jun 30, 2023 | -39,000.00 |
| Mar 31, 2023 | 1,000.00 |
| Dec 31, 2022 | -338,000.00 |
| Sep 30, 2022 | -653,000.00 |
| Jun 30, 2022 | 4.46 Mn |
| Mar 31, 2022 | -1.56 Mn |
| Dec 31, 2021 | 33.99 Mn |
| Sep 30, 2021 | 1.61 Mn |
| Jun 30, 2021 | -132,000.00 |
| Mar 31, 2021 | 500,000.00 |
| Dec 31, 2020 | 247,000.00 |
| Sep 30, 2020 | 378,000.00 |
| Jun 27, 2020 | 100,000.00 |
| Mar 28, 2020 | 18.24 Mn |
| Dec 28, 2019 | 14.03 Mn |
API Access
Ptc Restructuring Costs 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=restructuring-costs&ticker=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();