Procore Technologies (PCOR) Return on Capital Employed [ROCE] (2021 - 2026)
Procore Technologies' Return on Capital Employed [ROCE] came in at -5.38% for Q2 2026, up 7.94 percentage points from -13.32% a year earlier and up 2.21 percentage points from the prior quarter.
Procore Technologies (PCOR) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Procore Technologies' Return on Capital Employed [ROCE] was -9.67%, up 1.08 percentage points from FY2024.
- Return on Capital Employed [ROCE] has increased in each of the last four years, with a four-year change of +23.89 percentage points (FY2021 to FY2025).
- Going back by year, Return on Capital Employed [ROCE] was -10.75% in FY2024 (+7.62 pp), -18.36% in FY2023 (+6.17 pp), -24.53% in FY2022 (+9.03 pp) and -33.56% in FY2021.
- The Q2 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2021.
- Year-over-year, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of +3.38 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in Q2 2024 (a gain of 13.59 percentage points), and the weakest in Q3 2022 (a drop of 4.70 percentage points).
- Business Quant data shows PCOR's Return on Capital Employed [ROCE] at -7.59% (Q1 2026), -9.84% (Q4 2025) and -11.57% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 49.39 Bn | 21.63 Bn | 695.95 Mn | 13.55% |
| 3 | Samsara | 23.96 Bn | 20.73 Bn | 392.58 Mn | 1.12% |
| 4 | Ptc | 22.37 Bn | 21.18 Bn | 490.47 Mn | 21.53% |
| 5 | Toast | 20.05 Bn | 12.69 Bn | 543.00 Mn | 23.08% |
| 6 | Manhattan Associates | 14.85 Bn | 13.91 Bn | 174.30 Mn | 114.12% |
| 7 | Bentley Systems | 13.89 Bn | 13.37 Bn | 349.55 Mn | 15.90% |
| 8 | Trimble | 12.57 Bn | 11.65 Bn | 659.10 Mn | 8.96% |
| 9 | Costar | 12.28 Bn | 7.66 Bn | 741.00 Mn | 2.23% |
| 10 | Procore Technologies | 11.33 Bn | 8.70 Bn | 323.62 Mn | -3.66% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -3.66% |
| Jun 30, 2026 | -5.38% |
| Mar 31, 2026 | -7.59% |
| Dec 31, 2025 | -9.84% |
| Sep 30, 2025 | -11.57% |
| Jun 30, 2025 | -13.32% |
| Mar 31, 2025 | -11.48% |
| Dec 31, 2024 | -10.24% |
| Sep 30, 2024 | -8.00% |
| Jun 30, 2024 | -9.35% |
| Mar 31, 2024 | -12.80% |
| Dec 31, 2023 | -18.04% |
| Sep 30, 2023 | -21.25% |
| Jun 30, 2023 | -22.94% |
| Mar 31, 2023 | -23.83% |
| Dec 31, 2022 | -24.67% |
| Sep 30, 2022 | -23.93% |
| Jun 30, 2022 | -21.43% |
| Mar 31, 2022 | -27.04% |
| Dec 31, 2021 | -23.59% |
Procore Technologies Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=PCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();