Ptc (PTC) Selling, General & Administrative (2009 - 2026)
Ptc's Selling, General & Administrative came in at $59.97 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 10.8% from $54.15 million a year earlier but down 32.3% from the prior quarter.
Ptc (PTC) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ptc reported Selling, General & Administrative of $286.22 million, up 33.5% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $226.06 million, down 2.7% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Going back by fiscal year, Selling, General & Administrative was $232.38 million in FY2024 (-0.5%), $233.52 million in FY2023 (+14.1%), $204.73 million in FY2022 (-0.6%) and $206.01 million in FY2021 (+28.9%).
- The five-year range for quarterly Selling, General & Administrative is $47.47 million (fiscal Q2 2022) to $88.65 million (fiscal Q2 2026).
- Year-over-year, Selling, General & Administrative has increased for five consecutive quarters, with growth averaging 12.0% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in fiscal Q2 2026 (growth of 61.2%), and the weakest in fiscal Q1 2025 (a decline of 23.0%).
- Business Quant data shows PTC's Selling, General & Administrative at $88.65 million (Q2 2026), $74 million (Q1 2026) and $63.6 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 45.65 Bn | 17.89 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Toast | 16.88 Bn | 9.55 Bn | 516.00 Mn | 89.00 Mn |
| 5 | Ptc | 16.22 Bn | 15.03 Bn | 490.47 Mn | 59.97 Mn |
| 6 | Duolingo | 13.71 Bn | 8.88 Bn | 216.74 Mn | 50.59 Mn |
| 7 | Trimble | 13.42 Bn | 12.48 Bn | 674.90 Mn | 149.70 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 26.74 Mn |
| 9 | Costar | 11.23 Bn | 5.20 Bn | 728.00 Mn | 114.00 Mn |
| 10 | Bentley Systems | 9.88 Bn | 9.34 Bn | 336.74 Mn | 65.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.97 Mn |
| Mar 31, 2026 | 88.65 Mn |
| Dec 31, 2025 | 74.00 Mn |
| Sep 30, 2025 | 63.60 Mn |
| Jun 30, 2025 | 54.15 Mn |
| Mar 31, 2025 | 54.99 Mn |
| Dec 31, 2024 | 53.32 Mn |
| Sep 30, 2024 | 51.99 Mn |
| Jun 30, 2024 | 49.66 Mn |
| Mar 31, 2024 | 61.53 Mn |
| Dec 31, 2023 | 69.21 Mn |
| Sep 30, 2023 | 59.57 Mn |
| Jun 30, 2023 | 57.06 Mn |
| Mar 31, 2023 | 65.92 Mn |
| Dec 31, 2022 | 50.97 Mn |
| Sep 30, 2022 | 50.71 Mn |
| Jun 30, 2022 | 54.62 Mn |
| Mar 31, 2022 | 47.47 Mn |
| Dec 31, 2021 | 51.94 Mn |
| Sep 30, 2021 | 48.59 Mn |
Ptc Selling, General & Administrative 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=selling-general-and-administrative&ticker=PTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();