PROCEPT BioRobotics (PRCT) Change in Receivables (2020 - 2026)
PROCEPT BioRobotics (PRCT) posted Change in Receivables of -$2.03 million for Q3 2026, compared with $4.35 million a year earlier.
Powered by 
Analysis
PROCEPT BioRobotics (PRCT) Change in Receivables (2020 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Change in Receivables at PROCEPT BioRobotics was $20.69 million, up 15.2% 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 two of the last four quarters, with growth averaging 68.6%.
- 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 $11.63 million (Q2 2026), $13.32 million (Q1 2026) and -$2.23 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 476.00 Mn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 160.00 Mn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 53.40 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | -53.00 Mn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 69.00 Mn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 19.90 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 133.00 Mn |
| 10 | PROCEPT BioRobotics | 1.37 Bn | 388.62 Mn | 65.15 Mn | -2.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -2.03 Mn |
| 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 |
API Access
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_KEYimport 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();