Procore Technologies (PCOR) Cash & Equivalents (2020 - 2026)
Procore Technologies (PCOR) posted Cash & Equivalents of $494.39 million for Q2 2026, up 52.5% from $324.26 million a year earlier and up 28.1% from the prior quarter.
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Analysis
Procore Technologies (PCOR) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, Procore Technologies' Cash & Equivalents came in at $480.68 million, up 9.8% from FY2024.
- Annual Cash & Equivalents has increased for three consecutive years, with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In prior years, Procore Technologies' Cash & Equivalents was $437.72 million in FY2024 (+22.3%), $357.79 million in FY2023 (+20.6%), $296.71 million in FY2022 (-49.4%) and $586.11 million in FY2021 (+54.3%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q2 2022.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 11.2% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q3 2021, with growth of 255.5%; the weakest was Q3 2022, with a decline of 75.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $386.04 million (Q1 2026), $480.68 million (Q4 2025) and $350.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.59 Bn | 22.84 Bn | 695.95 Mn | 1.81 Bn |
| 3 | Samsara | 23.33 Bn | 20.10 Bn | 392.58 Mn | 291.39 Mn |
| 4 | Ptc | 22.16 Bn | 20.97 Bn | 490.47 Mn | 351.45 Mn |
| 5 | Toast | 18.44 Bn | 11.11 Bn | 516.00 Mn | 1.02 Bn |
| 6 | Trimble | 14.01 Bn | 13.07 Bn | 674.90 Mn | 214.40 Mn |
| 7 | Manhattan Associates | 13.13 Bn | 12.12 Bn | 168.33 Mn | 186.11 Mn |
| 8 | Costar | 12.86 Bn | 6.81 Bn | 728.00 Mn | 1.27 Bn |
| 9 | Bentley Systems | 11.05 Bn | 10.51 Bn | 336.74 Mn | 146.98 Mn |
| 10 | Procore Technologies | 8.50 Bn | 5.80 Bn | 299.80 Mn | 494.39 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 494.39 Mn |
| Mar 31, 2026 | 386.04 Mn |
| Dec 31, 2025 | 480.68 Mn |
| Sep 30, 2025 | 350.50 Mn |
| Jun 30, 2025 | 324.26 Mn |
| Mar 31, 2025 | 313.73 Mn |
| Dec 31, 2024 | 437.72 Mn |
| Sep 30, 2024 | 439.30 Mn |
| Jun 30, 2024 | 356.24 Mn |
| Mar 31, 2024 | 427.66 Mn |
| Dec 31, 2023 | 357.79 Mn |
| Sep 30, 2023 | 318.32 Mn |
| Jun 30, 2023 | 312.52 Mn |
| Mar 31, 2023 | 328.96 Mn |
| Dec 31, 2022 | 296.71 Mn |
| Sep 30, 2022 | 264.62 Mn |
| Jun 30, 2022 | 563.22 Mn |
| Mar 31, 2022 | 586.91 Mn |
| Dec 31, 2021 | 586.11 Mn |
| Sep 30, 2021 | 1.07 Bn |
API Access
Procore Technologies Cash & Equivalents 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=cash-and-equivalents&ticker=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();