PROCEPT BioRobotics (PRCT) Change in Receivables (2020 - 2026)
PROCEPT BioRobotics (PRCT) posted Change in Receivables of $11.63 million for Q2 2026, up 329.8% from $2.71 million a year earlier but down 12.7% from the prior quarter.
PROCEPT BioRobotics (PRCT) Change in Receivables (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Receivables at PROCEPT BioRobotics was $27.07 million, up 11.9% year-over-year; for FY2025, it was $898,000, down 97.5% from FY2024.
- Annual Change in Receivables shows a five-year compound annual growth rate of 11.9% (FY2020 to FY2025).
- In prior years, PROCEPT BioRobotics' Change in Receivables was $35.96 million in FY2024 (+8.6%), $33.1 million in FY2023 (+206.3%), $10.81 million in FY2022 (+270.9%) and $2.91 million in FY2021 (+470.3%).
- Quarterly Change in Receivables has run from a low of -$3.93 million in Q1 2025 to a high of $14.83 million in Q4 2024 over five years.
- On a year-over-year basis, Change in Receivables increased in three of the last five quarters, with growth averaging 181.1%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was Q3 2024, with growth of 631.1%; the weakest was Q2 2024, with a decline of 77.4%.
- According to Business Quant data, Change in Receivables for the three prior quarters was $13.32 million (Q1 2026), -$2.23 million (Q4 2025) and $4.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 386.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | -71.00 Mn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 53.40 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 177.00 Mn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 46.00 Mn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 10.20 Mn |
| 10 | PROCEPT BioRobotics | 1.14 Bn | 84.15 Mn | 62.38 Mn | 11.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.63 Mn |
| Mar 31, 2026 | 13.32 Mn |
| Dec 31, 2025 | -2.23 Mn |
| Sep 30, 2025 | 4.35 Mn |
| Jun 30, 2025 | 2.71 Mn |
| Mar 31, 2025 | -3.93 Mn |
| Dec 31, 2024 | 14.83 Mn |
| Sep 30, 2024 | 10.59 Mn |
| Jun 30, 2024 | 2.84 Mn |
| Mar 31, 2024 | 7.71 Mn |
| Dec 31, 2023 | 13.75 Mn |
| Sep 30, 2023 | 1.45 Mn |
| Jun 30, 2023 | 12.53 Mn |
| Mar 31, 2023 | 5.37 Mn |
| Dec 31, 2022 | 2.43 Mn |
| Sep 30, 2022 | 1.95 Mn |
| Jun 30, 2022 | 3.90 Mn |
| Mar 31, 2022 | 2.53 Mn |
| Dec 31, 2021 | -1.89 Mn |
| Sep 30, 2021 | 1.21 Mn |
PROCEPT BioRobotics 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=PRCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "ticker": "PRCT", "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=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();