Procore Technologies (PCOR) Operating Expenses (2020 - 2026)
Procore Technologies' (PCOR) quarterly Operating Expenses came in at $295.5 million in Q2 2026, up 3.15% year-over-year from $286.5 million in Q2 2025, and down 2.63% quarter-over-quarter from $303.5 million in Q1 2026.
Procore Technologies (PCOR) Operating Expenses (2020 - 2026) Analysis & Trends
Procore Technologies has disclosed Operating Expenses across 7 years of filings, most recently posting $295.5 million for Q2 2026.
- In Q2 2026, Operating Expenses rose 3.15% year-over-year to $295.5 million; the TTM figure through Jun 2026 stood at $1.2 billion (up 4.26% YoY), while the FY2025 annual figure was $1.2 billion, up 8.64% from the prior year.
- Operating Expenses came in at $295.5 million for Q2 2026 at Procore Technologies, down from $303.5 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of $322.5 million in Q4 2025 to a low of $197.3 million in Q1 2022.
- Average Operating Expenses over 5 years is $261.7 million, with a median of $252.6 million recorded in 2023.
- The largest YoY upside for Operating Expenses was 85.39% in 2022 against a maximum downside of 15.66% in 2022.
- Over 5 years, Operating Expenses stood at $236.7 million in 2022, then rose by 5.43% to $249.5 million in 2023, then grew by 24.81% to $311.5 million in 2024, then gained by 3.54% to $322.5 million in 2025, then slipped by 8.38% to $295.5 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were $295.5 million in Q2 2026, $303.5 million in Q1 2026, and $322.5 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 420.93 Mn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | 387.71 Mn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 364.00 Mn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 323.96 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | 542.90 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 182.80 Mn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | 231.56 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 652.00 Mn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 248.13 Mn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | 295.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 295.47 Mn |
| Mar 31, 2026 | 303.46 Mn |
| Dec 31, 2025 | 322.50 Mn |
| Sep 30, 2025 | 285.12 Mn |
| Jun 30, 2025 | 286.45 Mn |
| Mar 31, 2025 | 281.95 Mn |
| Dec 31, 2024 | 311.46 Mn |
| Sep 30, 2024 | 277.43 Mn |
| Jun 30, 2024 | 251.02 Mn |
| Mar 31, 2024 | 242.61 Mn |
| Dec 31, 2023 | 249.54 Mn |
| Sep 30, 2023 | 254.13 Mn |
| Jun 30, 2023 | 244.96 Mn |
| Mar 31, 2023 | 242.59 Mn |
| Dec 31, 2022 | 236.69 Mn |
| Sep 30, 2022 | 220.46 Mn |
| Jun 30, 2022 | 207.77 Mn |
| Mar 31, 2022 | 197.32 Mn |
| Dec 31, 2021 | 190.79 Mn |
| Sep 30, 2021 | 158.85 Mn |
Procore Technologies Operating Expenses 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=operating-expenses&ticker=PCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();