PROCEPT BioRobotics (PRCT) Accounts Payables (2020 - 2026)
PROCEPT BioRobotics (PRCT) reported Accounts Payables of $15.07 million for Q2 2026, up 27.9% from $11.78 million a year earlier but down 20.1% from the prior quarter.
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Analysis
PROCEPT BioRobotics (PRCT) Accounts Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, PROCEPT BioRobotics posted Accounts Payables of $17.29 million, up 72.3% from FY2024.
- Accounts Payables has a five-year compound annual growth rate of 69.4% (FY2020 to FY2025).
- By year, Accounts Payables came in at $10.03 million in FY2024 (-25.7%), $13.5 million in FY2023 (+43.7%), $9.39 million in FY2022 (+362.8%) and $2.03 million in FY2021 (+63.6%).
- Five-year quarterly Accounts Payables spans a low of $2.03 million in Q4 2021 and a high of $18.85 million in Q1 2026.
- Year over year, Accounts Payables has now increased in each of the last three quarters, with growth averaging 19.0% over the last eight quarters.
- The high point for year-over-year Accounts Payables in five years was Q4 2022 (growth of 362.8%); the low point was Q3 2025 (a decline of 26.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $18.85 million (Q1 2026), $17.29 million (Q4 2025) and $11.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 4.79 Bn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 279.50 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 1.66 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 210.50 Mn |
| 10 | PROCEPT BioRobotics | 1.14 Bn | 84.15 Mn | 62.38 Mn | 15.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.07 Mn |
| Mar 31, 2026 | 18.85 Mn |
| Dec 31, 2025 | 17.29 Mn |
| Sep 30, 2025 | 11.12 Mn |
| Jun 30, 2025 | 11.78 Mn |
| Mar 31, 2025 | 14.83 Mn |
| Dec 31, 2024 | 10.03 Mn |
| Sep 30, 2024 | 15.09 Mn |
| Jun 30, 2024 | 9.95 Mn |
| Mar 31, 2024 | 10.08 Mn |
| Dec 31, 2023 | 13.50 Mn |
| Sep 30, 2023 | 13.60 Mn |
| Jun 30, 2023 | 10.04 Mn |
| Mar 31, 2023 | 10.34 Mn |
| Dec 31, 2022 | 9.39 Mn |
| Sep 30, 2022 | 6.33 Mn |
| Jun 30, 2022 | 3.34 Mn |
| Mar 31, 2022 | 2.63 Mn |
| Dec 31, 2021 | 2.03 Mn |
| Sep 30, 2021 | 3.59 Mn |
API Access
PROCEPT BioRobotics Accounts Payables 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=accounts-payables&ticker=PRCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();