Procore Technologies (PCOR) Receivables (2020 - 2026)
Procore Technologies' Receivables came in at $241.44 million for Q2 2026, up 24.4% from $194.1 million a year earlier and up 30.7% from the prior quarter.
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Analysis
Procore Technologies (PCOR) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2025, Procore Technologies' Receivables was $287.81 million, up 16.8% from FY2024.
- Receivables has increased in each of the last five years, with a five-year compound annual growth rate of 29.9% (FY2020 to FY2025).
- Going back by year, Receivables was $246.47 million in FY2024 (+19.3%), $206.64 million in FY2023 (+39.0%), $148.68 million in FY2022 (+30.5%) and $113.98 million in FY2021 (+46.7%).
- The five-year range for quarterly Receivables is $74.47 million (Q3 2021) to $287.81 million (Q4 2025).
- Year-over-year, Receivables has increased for 17 consecutive quarters, with growth averaging 18.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Receivables ranged from 14.3% (Q1 2026) to 46.7% (Q4 2021).
- Business Quant data shows PCOR's Receivables at $184.69 million (Q1 2026), $287.81 million (Q4 2025) and $205.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,105.00 |
| 2 | Veeva Systems | 50.60 Bn | 22.85 Bn | 695.95 Mn | 565.65 Mn |
| 3 | Samsara | 23.42 Bn | 20.19 Bn | 392.58 Mn | 337.79 Mn |
| 4 | Ptc | 22.16 Bn | 20.98 Bn | 490.47 Mn | 824.11 Mn |
| 5 | Toast | 18.48 Bn | 11.15 Bn | 516.00 Mn | 183.00 Mn |
| 6 | Trimble | 14.06 Bn | 13.12 Bn | 674.90 Mn | 598.10 Mn |
| 7 | Manhattan Associates | 13.17 Bn | 12.16 Bn | 168.33 Mn | 218.88 Mn |
| 8 | Costar | 12.83 Bn | 6.78 Bn | 728.00 Mn | 253.00 Mn |
| 9 | Bentley Systems | 11.09 Bn | 10.55 Bn | 336.74 Mn | - |
| 10 | Procore Technologies | 8.54 Bn | 5.84 Bn | 299.80 Mn | 241.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 241.44 Mn |
| Mar 31, 2026 | 184.69 Mn |
| Dec 31, 2025 | 287.81 Mn |
| Sep 30, 2025 | 205.81 Mn |
| Jun 30, 2025 | 194.10 Mn |
| Mar 31, 2025 | 161.58 Mn |
| Dec 31, 2024 | 246.47 Mn |
| Sep 30, 2024 | 173.39 Mn |
| Jun 30, 2024 | 158.70 Mn |
| Mar 31, 2024 | 139.00 Mn |
| Dec 31, 2023 | 206.64 Mn |
| Sep 30, 2023 | 145.71 Mn |
| Jun 30, 2023 | 125.58 Mn |
| Mar 31, 2023 | 106.19 Mn |
| Dec 31, 2022 | 148.68 Mn |
| Sep 30, 2022 | 106.75 Mn |
| Jun 30, 2022 | 89.27 Mn |
| Mar 31, 2022 | 79.78 Mn |
| Dec 31, 2021 | 113.98 Mn |
| Sep 30, 2021 | 74.47 Mn |
API Access
Procore Technologies Receivables 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=receivables&ticker=PCOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();