Procore Technologies (PCOR) Research & Development (2020 - 2026)
Procore Technologies (PCOR) posted Research & Development of $93.35 million for Q2 2026, up 5.0% from $88.9 million a year earlier and up 9.1% from the prior quarter.
Procore Technologies (PCOR) Research & Development (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Research & Development at Procore Technologies was $364.78 million, up 5.2% year-over-year; for FY2025, it came in at $362.37 million, up 15.8% from FY2024.
- Annual Research & Development has increased for six consecutive years, with a five-year compound annual growth rate of 23.8% (FY2020 to FY2025).
- In prior years, Procore Technologies' Research & Development was $312.99 million in FY2024 (+4.1%), $300.57 million in FY2023 (+10.9%), $270.98 million in FY2022 (+14.2%) and $237.29 million in FY2021 (+90.3%).
- Quarterly Research & Development has run from a low of $53.45 million in Q3 2021 to a high of $97.81 million in Q4 2025 over five years.
- On a year-over-year basis, Research & Development increased in seven of the last eight quarters, with growth averaging 12.4%.
- The strongest year-over-year quarter for Research & Development in the past five years was Q1 2022, with growth of 74.4%; the weakest was Q2 2022, with a decline of 28.0%.
- According to Business Quant data, Research & Development for the three prior quarters was $85.57 million (Q1 2026), $97.81 million (Q4 2025) and $88.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.19 Bn | 22.44 Bn | 695.95 Mn | 222.92 Mn |
| 3 | Samsara | 23.08 Bn | 19.85 Bn | 392.58 Mn | 102.56 Mn |
| 4 | Ptc | 22.13 Bn | 20.95 Bn | 490.47 Mn | 115.71 Mn |
| 5 | Toast | 18.36 Bn | 11.03 Bn | 516.00 Mn | 109.00 Mn |
| 6 | Trimble | 13.91 Bn | 12.97 Bn | 674.90 Mn | 177.10 Mn |
| 7 | Manhattan Associates | 13.13 Bn | 12.13 Bn | 168.33 Mn | 34.77 Mn |
| 8 | Costar | 12.81 Bn | 6.76 Bn | 728.00 Mn | 107.00 Mn |
| 9 | Bentley Systems | 10.98 Bn | 10.44 Bn | 336.74 Mn | 82.09 Mn |
| 10 | Procore Technologies | 8.49 Bn | 5.79 Bn | 299.80 Mn | 93.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.35 Mn |
| Mar 31, 2026 | 85.57 Mn |
| Dec 31, 2025 | 97.81 Mn |
| Sep 30, 2025 | 88.05 Mn |
| Jun 30, 2025 | 88.90 Mn |
| Mar 31, 2025 | 87.61 Mn |
| Dec 31, 2024 | 89.29 Mn |
| Sep 30, 2024 | 80.79 Mn |
| Jun 30, 2024 | 72.31 Mn |
| Mar 31, 2024 | 70.60 Mn |
| Dec 31, 2023 | 74.61 Mn |
| Sep 30, 2023 | 72.71 Mn |
| Jun 30, 2023 | 73.22 Mn |
| Mar 31, 2023 | 80.04 Mn |
| Dec 31, 2022 | 75.41 Mn |
| Sep 30, 2022 | 71.49 Mn |
| Jun 30, 2022 | 63.82 Mn |
| Mar 31, 2022 | 60.25 Mn |
| Dec 31, 2021 | 60.67 Mn |
| Sep 30, 2021 | 53.45 Mn |
Procore Technologies Research & Development 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=research-and-development&ticker=PCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();