Procore Technologies (PCOR) Cost of Revenue (2020 - 2026)
Procore Technologies' (PCOR) quarterly Cost of Revenue came in at $75.4 million in Q2 2026, up 11.34% year-over-year from $67.7 million in Q2 2025, and up 5.48% quarter-over-quarter from $71.5 million in Q1 2026.
Procore Technologies (PCOR) Cost of Revenue (2020 - 2026) Analysis & Trends
Procore Technologies has disclosed Cost of Revenue across 7 years of filings, most recently posting $75.4 million for Q2 2026.
- In Q2 2026, Cost of Revenue rose 11.34% year-over-year to $75.4 million; the TTM figure through Jun 2026 stood at $285.1 million (up 16.62% YoY), while the FY2025 annual figure was $270.8 million, up 31.72% from the prior year.
- Cost of Revenue came in at $75.4 million for Q2 2026 at Procore Technologies, up from $71.5 million in the prior quarter.
- In the past five years, Cost of Revenue ranged from a high of $75.4 million in Q2 2026 to a low of $33.3 million in Q1 2022.
- Average Cost of Revenue over 5 years is $52.6 million, with a median of $48.0 million recorded in 2023.
- Year-over-year, Cost of Revenue soared 66.48% in 2022 and grew 10.11% in 2026.
- Over 5 years, Cost of Revenue stood at $40.6 million in 2022, then grew by 17.9% to $47.8 million in 2023, then grew by 18.82% to $56.8 million in 2024, then gained by 22.13% to $69.4 million in 2025, then advanced by 8.64% to $75.4 million in 2026.
- Per Business Quant data, the three most recent Cost of Revenue figures were $75.4 million in Q2 2026, $71.5 million in Q1 2026, and $69.4 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn | 232.01 Mn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn | 115.86 Mn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn | 1.39 Bn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn | 109.58 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn | 297.10 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn | 81.71 Mn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn | 129.46 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn | 220.00 Mn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn | 73.99 Mn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn | 75.41 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 75.41 Mn |
| Mar 31, 2026 | 71.49 Mn |
| Dec 31, 2025 | 69.41 Mn |
| Sep 30, 2025 | 68.76 Mn |
| Jun 30, 2025 | 67.73 Mn |
| Mar 31, 2025 | 64.93 Mn |
| Dec 31, 2024 | 56.83 Mn |
| Sep 30, 2024 | 54.95 Mn |
| Jun 30, 2024 | 48.10 Mn |
| Mar 31, 2024 | 45.72 Mn |
| Dec 31, 2023 | 47.83 Mn |
| Sep 30, 2023 | 44.13 Mn |
| Jun 30, 2023 | 42.30 Mn |
| Mar 31, 2023 | 40.20 Mn |
| Dec 31, 2022 | 40.57 Mn |
| Sep 30, 2022 | 37.78 Mn |
| Jun 30, 2022 | 36.74 Mn |
| Mar 31, 2022 | 33.33 Mn |
| Dec 31, 2021 | 29.77 Mn |
| Sep 30, 2021 | 22.69 Mn |
Procore Technologies Cost of 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=cost-of-revenue&ticker=PCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();