Procore Technologies (PCOR) EPS (Basic) (2020 - 2026)
Procore Technologies' (PCOR) quarterly EPS (Basic) came in at $0.11 in Q2 2026, up 179.54% year-over-year from $0.04 in Q2 2025, and up 286.4% quarter-over-quarter from -$0.06 in Q1 2026.
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Analysis
Procore Technologies (PCOR) EPS (Basic) (2020 - 2026) Analysis & Trends
Procore Technologies has disclosed EPS (Basic) across 7 years of filings, most recently posting $0.11 for Q2 2026.
- In Q2 2026, EPS (Basic) rose 179.54% year-over-year to $0.11; the TTM figure through Jun 2026 stood at -$0.26 (up 73.12% YoY), while the FY2025 annual figure was -$0.67, up 6.66% from the prior year.
- EPS (Basic) came in at $0.11 for Q2 2026 at Procore Technologies, up from -$0.06 in the prior quarter.
- In the past five years, EPS (Basic) ranged from a high of $0.11 in Q2 2026 to a low of -$0.54 in Q2 2022.
- Average EPS (Basic) over 5 years is -$0.27, with a median of -$0.23 recorded in 2025.
- Year-over-year, EPS (Basic) slumped 227.56% in 2025 and soared 179.54% in 2026.
- Over 5 years, EPS (Basic) stood at -$0.52 in 2022, then jumped by 60.16% to -$0.21 in 2023, then slumped by 103.36% to -$0.42 in 2024, then surged by 40.82% to -$0.25 in 2025, then surged by 144.82% to $0.11 in 2026.
- Per Business Quant data, the three most recent EPS (Basic) figures were $0.11 in Q2 2026, -$0.06 in Q1 2026, and -$0.25 in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 1.68 |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | 0.03 |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 0.27 |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 1.04 |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | -2.02 |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 0.71 |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | 0.86 |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 0.14 |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 0.25 |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | 0.11 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.11 |
| Mar 31, 2026 | -0.06 |
| Dec 31, 2025 | -0.25 |
| Sep 30, 2025 | -0.06 |
| Jun 30, 2025 | -0.14 |
| Mar 31, 2025 | -0.22 |
| Dec 31, 2024 | -0.42 |
| Sep 30, 2024 | -0.18 |
| Jun 30, 2024 | -0.04 |
| Mar 31, 2024 | -0.08 |
| Dec 31, 2023 | -0.21 |
| Sep 30, 2023 | -0.31 |
| Jun 30, 2023 | -0.37 |
| Mar 31, 2023 | -0.45 |
| Dec 31, 2022 | -0.52 |
| Sep 30, 2022 | -0.52 |
| Jun 30, 2022 | -0.54 |
| Mar 31, 2022 | -0.53 |
| Dec 31, 2021 | -0.55 |
| Sep 30, 2021 | -0.39 |
API Access
Procore Technologies EPS (Basic) 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=eps-basic&ticker=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();