Procore Technologies (PCOR) Return on Sales [ROS] (2020 - 2026)
Procore Technologies (PCOR) posted Return on Sales [ROS] of 1.15% for Q2 2026, up 10.50 percentage points from -9.34% a year earlier and up 5.51 percentage points from the prior quarter.
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Analysis
Procore Technologies (PCOR) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Procore Technologies was -4.86%, up 8.87 percentage points year-over-year; for FY2025, it came in at -9.40%, up 2.44 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for four consecutive years, with a five-year change of +5.22 percentage points (FY2020 to FY2025).
- In prior years, Procore Technologies' Return on Sales [ROS] 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 stands as the highest quarterly Return on Sales [ROS] in data going back to Q2 2020.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last four quarters, with an average year-over-year change of +3.37 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2022, with a gain of 79.41 percentage points; the weakest was Q1 2022, with a drop of 33.31 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -4.36% (Q1 2026), -12.26% (Q4 2025) and -4.44% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.96 Bn | 23.21 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 23.85 Bn | 20.62 Bn | 392.58 Mn | 0.96% |
| 4 | Ptc | 22.17 Bn | 20.99 Bn | 490.47 Mn | 27.75% |
| 5 | Toast | 18.75 Bn | 11.42 Bn | 516.00 Mn | 7.97% |
| 6 | Trimble | 14.19 Bn | 13.25 Bn | 674.90 Mn | 13.58% |
| 7 | Manhattan Associates | 13.20 Bn | 12.19 Bn | 168.33 Mn | 22.24% |
| 8 | Costar | 12.93 Bn | 6.88 Bn | 728.00 Mn | 8.22% |
| 9 | Bentley Systems | 11.18 Bn | 10.64 Bn | 336.74 Mn | 21.57% |
| 10 | Procore Technologies | 8.78 Bn | 6.08 Bn | 299.80 Mn | 1.15% |
Historic Data
Download Data
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% |
API Access
Procore Technologies Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();