Procore Technologies (PCOR) Change in Receivables (2020 - 2026)
Procore Technologies' Change in Receivables was $57.08 million in Q2 2026, up 80.0% from $31.71 million a year earlier.
Procore Technologies (PCOR) Change in Receivables (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Procore Technologies' Change in Receivables was $47.63 million through Jun 30, 2026, up 40.6% year-over-year; for FY2025, it was $39.82 million, up 0.8% from FY2024.
- Change in Receivables shows a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- In earlier years, Change in Receivables was $39.5 million in FY2024 (-31.3%), $57.49 million in FY2023 (+60.5%), $35.82 million in FY2022 (+4.8%) and $34.18 million in FY2021 (+70.3%).
- Quarterly Change in Receivables has moved between -$103.88 million (Q1 2026) and $82.43 million (Q4 2025) over five years.
- Compared with a year earlier, Change in Receivables was higher in four of the last six quarters, with growth averaging 22.3%.
- The best year-over-year quarter for Change in Receivables over five years was Q3 2021 (growth of 147.7%); the worst was Q3 2024 (a decline of 28.1%).
- Per Business Quant data, PCOR's Change in Receivables in the three quarters before Q2 2026 was -$103.88 million (Q1 2026), $82.43 million (Q4 2025) and $12.01 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 50.17 Bn | 22.41 Bn | 695.95 Mn | -71.70 Mn |
| 3 | Samsara | 23.13 Bn | 19.90 Bn | 392.58 Mn | 53.12 Mn |
| 4 | Ptc | 22.14 Bn | 20.95 Bn | 490.47 Mn | -22.77 Mn |
| 5 | Toast | 18.35 Bn | 11.02 Bn | 516.00 Mn | 7.00 Mn |
| 6 | Trimble | 13.95 Bn | 13.02 Bn | 674.90 Mn | -16.30 Mn |
| 7 | Manhattan Associates | 13.07 Bn | 12.07 Bn | 168.33 Mn | -7.79 Mn |
| 8 | Costar | 12.79 Bn | 6.74 Bn | 728.00 Mn | -8.00 Mn |
| 9 | Bentley Systems | 11.07 Bn | 10.53 Bn | 336.74 Mn | 23.47 Mn |
| 10 | Procore Technologies | 8.51 Bn | 5.81 Bn | 299.80 Mn | 57.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.08 Mn |
| Mar 31, 2026 | -103.88 Mn |
| Dec 31, 2025 | 82.43 Mn |
| Sep 30, 2025 | 12.01 Mn |
| Jun 30, 2025 | 31.71 Mn |
| Mar 31, 2025 | -86.33 Mn |
| Dec 31, 2024 | 73.80 Mn |
| Sep 30, 2024 | 14.70 Mn |
| Jun 30, 2024 | 19.02 Mn |
| Mar 31, 2024 | -68.01 Mn |
| Dec 31, 2023 | 60.64 Mn |
| Sep 30, 2023 | 20.43 Mn |
| Jun 30, 2023 | 19.37 Mn |
| Mar 31, 2023 | -42.95 Mn |
| Dec 31, 2022 | 42.20 Mn |
| Sep 30, 2022 | 17.98 Mn |
| Jun 30, 2022 | 10.12 Mn |
| Mar 31, 2022 | -34.47 Mn |
| Dec 31, 2021 | 37.57 Mn |
| Sep 30, 2021 | 7.73 Mn |
Procore Technologies Change in 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=change-in-receivables&ticker=PCOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=PCOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();