Procore Technologies (PCOR) EBITDA (2020 - 2026)
Procore Technologies' (PCOR) quarterly EBITDA came in at $4.3 million in Q2 2026, up 114.3% year-over-year from $2.0 million in Q2 2025, and up 127.61% quarter-over-quarter from -$15.7 million in Q1 2026.
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Analysis
Procore Technologies (PCOR) EBITDA (2020 - 2026) Analysis & Trends
Procore Technologies has disclosed EBITDA across 7 years of filings, most recently posting $4.3 million for Q2 2026.
- In Q2 2026, EBITDA rose 114.3% year-over-year to $4.3 million; the TTM figure through Jun 2026 stood at -$69.2 million (up 59.13% YoY), while the FY2025 annual figure was -$124.3 million, up 8.85% from the prior year.
- EBITDA came in at $4.3 million for Q2 2026 at Procore Technologies, up from -$15.7 million in the prior quarter.
- In the past five years, EBITDA ranged from a high of $4.3 million in Q2 2026 to a low of -$75.2 million in Q4 2022.
- Average EBITDA over 5 years is -$43.2 million, with a median of -$40.1 million recorded in 2023.
- Year-over-year, EBITDA slumped 453.25% in 2022 and surged 114.3% in 2026.
- Over 5 years, EBITDA stood at -$75.2 million in 2022, then jumped by 50.36% to -$37.3 million in 2023, then tumbled by 77.44% to -$66.2 million in 2024, then soared by 35.39% to -$42.8 million in 2025, then surged by 110.11% to $4.3 million in 2026.
- Per Business Quant data, the three most recent EBITDA figures were $4.3 million in Q2 2026, -$15.7 million in Q1 2026, and -$42.8 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 275.02 Mn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | 4.88 Mn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 152.00 Mn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 166.51 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | 132.00 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 33.95 Mn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | 66.23 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 76.00 Mn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 88.61 Mn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | 4.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 35.13 Mn |
| Mar 31, 2026 | 13.50 Mn |
| Dec 31, 2025 | -15.51 Mn |
| Sep 30, 2025 | 14.17 Mn |
| Jun 30, 2025 | -3.03 Mn |
| Mar 31, 2025 | -9.39 Mn |
| Dec 31, 2024 | -41.62 Mn |
| Sep 30, 2024 | -12.26 Mn |
| Jun 30, 2024 | 6.07 Mn |
| Mar 31, 2024 | 1.15 Mn |
| Dec 31, 2023 | -17.64 Mn |
| Sep 30, 2023 | -32.62 Mn |
| Jun 30, 2023 | -41.39 Mn |
| Mar 31, 2023 | -52.39 Mn |
| Dec 31, 2022 | -58.62 Mn |
| Sep 30, 2022 | -55.91 Mn |
| Jun 30, 2022 | -56.90 Mn |
| Mar 31, 2022 | -55.99 Mn |
| Dec 31, 2021 | -61.34 Mn |
| Sep 30, 2021 | -41.41 Mn |
API Access
Procore Technologies EBITDA 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=ebitda&ticker=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();