Procore Technologies (PCOR) Selling, General & Administrative (2020 - 2026)
Procore Technologies' Selling, General & Administrative was $56.34 million in Q2 2026, up 1.2% from $55.66 million a year earlier but down 18.0% from the prior quarter.
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Analysis
Procore Technologies (PCOR) Selling, General & Administrative (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Procore Technologies' Selling, General & Administrative was $246.7 million through Jun 30, 2026, up 8.7% year-over-year; for FY2025, it was $232.97 million, up 7.1% from FY2024.
- Selling, General & Administrative has now increased for six consecutive years, with a five-year compound annual growth rate of 26.0% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $217.51 million in FY2024 (+11.1%), $195.75 million in FY2023 (+17.7%), $166.28 million in FY2022 (+6.2%) and $156.64 million in FY2021 (+113.2%).
- Quarterly Selling, General & Administrative has moved between $35.05 million (Q3 2021) and $68.87 million (Q4 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for three straight quarters, with growth averaging 9.4% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2022 (growth of 140.7%); the worst was Q2 2022 (a decline of 29.7%).
- Per Business Quant data, PCOR's Selling, General & Administrative in the three quarters before Q2 2026 was $68.72 million (Q1 2026), $68.87 million (Q4 2025) and $52.78 million (Q3 2025).
Peer Set
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 | 50.59 Bn | 22.84 Bn | 695.95 Mn | 71.31 Mn |
| 3 | Samsara | 23.33 Bn | 20.10 Bn | 392.58 Mn | 67.38 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 59.97 Mn |
| 5 | Toast | 18.44 Bn | 11.11 Bn | 516.00 Mn | 89.00 Mn |
| 6 | Trimble | 14.01 Bn | 13.07 Bn | 674.90 Mn | 149.70 Mn |
| 7 | Manhattan Associates | 13.13 Bn | 12.12 Bn | 168.33 Mn | 26.74 Mn |
| 8 | Costar | 12.86 Bn | 6.81 Bn | 728.00 Mn | 114.00 Mn |
| 9 | Bentley Systems | 11.05 Bn | 10.51 Bn | 336.74 Mn | 65.22 Mn |
| 10 | Procore Technologies | 8.50 Bn | 5.80 Bn | 299.80 Mn | 56.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.34 Mn |
| Mar 31, 2026 | 68.72 Mn |
| Dec 31, 2025 | 68.87 Mn |
| Sep 30, 2025 | 52.78 Mn |
| Jun 30, 2025 | 55.66 Mn |
| Mar 31, 2025 | 55.66 Mn |
| Dec 31, 2024 | 60.44 Mn |
| Sep 30, 2024 | 55.27 Mn |
| Jun 30, 2024 | 50.79 Mn |
| Mar 31, 2024 | 51.02 Mn |
| Dec 31, 2023 | 52.42 Mn |
| Sep 30, 2023 | 51.75 Mn |
| Jun 30, 2023 | 46.38 Mn |
| Mar 31, 2023 | 45.19 Mn |
| Dec 31, 2022 | 43.10 Mn |
| Sep 30, 2022 | 39.36 Mn |
| Jun 30, 2022 | 40.67 Mn |
| Mar 31, 2022 | 43.15 Mn |
| Dec 31, 2021 | 45.83 Mn |
| Sep 30, 2021 | 35.05 Mn |
API Access
Procore Technologies 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=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "PCOR", "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=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();