Procore Technologies (PCOR) Operating Margin (2020 - 2026)
Procore Technologies' Operating Margin was 1.15% in Q2 2026, up 10.50 percentage points from -9.34% a year earlier and up 5.51 percentage points from the prior quarter.
Procore Technologies (PCOR) Operating Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Procore Technologies' Operating Margin was -4.86% through Jun 30, 2026, up 8.87 percentage points year-over-year; for FY2025, it was -9.40%, up 2.44 percentage points from FY2024.
- Operating Margin has now increased for four consecutive years, with a five-year change of +5.22 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -11.85% in FY2024 (+10.86 pp), -22.70% in FY2023 (+17.63 pp), -40.33% in FY2022 (+15.21 pp) and -55.54% in FY2021 (-40.92 pp).
- The Q2 2026 figure marks the highest quarterly Operating Margin in data going back to Q2 2020.
- Compared with a year earlier, Operating Margin has increased for four straight quarters, with an average year-over-year change of +3.37 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q2 2022 (a gain of 79.41 percentage points); the worst was Q1 2022 (a drop of 33.31 percentage points).
- Per Business Quant data, PCOR's Operating Margin in the three quarters before Q2 2026 was -4.36% (Q1 2026), -12.26% (Q4 2025) and -4.44% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.52 Bn | 22.77 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.02 Bn | 20.79 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 22.16 Bn | 20.98 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 18.74 Bn | 11.41 Bn | 516.00 Mn | 7.97% |
| 6 | Trimble | 14.17 Bn | 13.23 Bn | 674.90 Mn | 13.58% |
| 7 | Manhattan Associates | 13.17 Bn | 12.17 Bn | 168.33 Mn | 22.24% |
| 8 | Costar | 12.94 Bn | 6.89 Bn | 728.00 Mn | 8.22% |
| 9 | Bentley Systems | 11.23 Bn | 10.69 Bn | 336.74 Mn | 21.57% |
| 10 | Procore Technologies | 8.77 Bn | 6.07 Bn | 299.80 Mn | 1.15% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.15% |
| Mar 31, 2026 | -4.36% |
| Dec 31, 2025 | -12.26% |
| Sep 30, 2025 | -4.44% |
| Jun 30, 2025 | -9.34% |
| Mar 31, 2025 | -11.67% |
| Dec 31, 2024 | -21.93% |
| Sep 30, 2024 | -12.33% |
| Jun 30, 2024 | -5.20% |
| Mar 31, 2024 | -7.02% |
| Dec 31, 2023 | -14.36% |
| Sep 30, 2023 | -20.31% |
| Jun 30, 2023 | -25.70% |
| Mar 31, 2023 | -32.44% |
| Dec 31, 2022 | -37.22% |
| Sep 30, 2022 | -38.52% |
| Jun 30, 2022 | -41.99% |
| Mar 31, 2022 | -44.60% |
| Dec 31, 2021 | -50.96% |
| Sep 30, 2021 | -37.55% |
Procore Technologies Operating Margin 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-margin&ticker=PCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();