Procore Technologies (PCOR) Revenue (2020 - 2026)
Procore Technologies (PCOR) recorded Revenue of $375.21 million in Q2 2026, up 15.8% from $323.92 million a year earlier and up 4.4% from the prior quarter.
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Analysis
Procore Technologies (PCOR) Revenue (2020 - 2026) Analysis & Trends
On a TTM basis, Procore Technologies' Revenue came in at $1.42 billion as of Jun 30, 2026, up 15.4% year-over-year; for FY2025, it was $1.32 billion, up 14.8% from FY2024.
- Annual Revenue has increased for six straight years, with a five-year compound annual growth rate of 27.0% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $1.15 billion in FY2024 (+21.2%), $950.01 million in FY2023 (+31.9%), $720.2 million in FY2022 (+39.9%) and $514.82 million in FY2021 (+28.6%).
- The Q2 2026 figure is the highest quarterly Revenue in data going back to Q2 2020.
- On a year-over-year basis, Revenue has increased for 21 consecutive quarters, with growth averaging 15.8% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 13.9% in Q2 2025 to 41.2% in Q3 2022.
- Per Business Quant, the preceding three quarters came in at $359.28 million (Q1 2026), $349.11 million (Q4 2025) and $338.85 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.31 Bn | 22.56 Bn | 695.95 Mn | 927.96 Mn |
| 3 | Samsara | 25.04 Bn | 21.81 Bn | 392.58 Mn | 508.44 Mn |
| 4 | Ptc | 21.61 Bn | 20.43 Bn | 490.47 Mn | 600.05 Mn |
| 5 | Toast | 20.40 Bn | 13.07 Bn | 516.00 Mn | 1.91 Bn |
| 6 | Manhattan Associates | 15.12 Bn | 14.18 Bn | 174.30 Mn | 306.19 Mn |
| 7 | Duolingo | 15.08 Bn | 10.25 Bn | 216.74 Mn | 298.45 Mn |
| 8 | Bentley Systems | 13.17 Bn | 12.63 Bn | 336.74 Mn | 410.73 Mn |
| 9 | Costar | 13.11 Bn | 8.51 Bn | 741.00 Mn | 952.00 Mn |
| 10 | Procore Technologies | 11.48 Bn | 8.78 Bn | 299.80 Mn | 375.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 375.21 Mn |
| Mar 31, 2026 | 359.28 Mn |
| Dec 31, 2025 | 349.11 Mn |
| Sep 30, 2025 | 338.85 Mn |
| Jun 30, 2025 | 323.92 Mn |
| Mar 31, 2025 | 310.63 Mn |
| Dec 31, 2024 | 302.05 Mn |
| Sep 30, 2024 | 295.89 Mn |
| Jun 30, 2024 | 284.35 Mn |
| Mar 31, 2024 | 269.43 Mn |
| Dec 31, 2023 | 260.04 Mn |
| Sep 30, 2023 | 247.91 Mn |
| Jun 30, 2023 | 228.54 Mn |
| Mar 31, 2023 | 213.53 Mn |
| Dec 31, 2022 | 202.05 Mn |
| Sep 30, 2022 | 186.43 Mn |
| Jun 30, 2022 | 172.21 Mn |
| Mar 31, 2022 | 159.52 Mn |
| Dec 31, 2021 | 146.10 Mn |
| Sep 30, 2021 | 131.99 Mn |
API Access
Procore Technologies Revenue 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=revenue&ticker=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();