PROCEPT BioRobotics (PRCT) Payables (2020 - 2026)
PROCEPT BioRobotics (PRCT) posted 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) Payables (2020 - 2026) Analysis & Trends
At the end of FY2025, PROCEPT BioRobotics' Payables came in at $17.29 million, up 72.3% from FY2024.
- Annual Payables shows a five-year compound annual growth rate of 69.4% (FY2020 to FY2025).
- In prior years, PROCEPT BioRobotics' Payables was $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%).
- Quarterly Payables has run from a low of $2.03 million in Q4 2021 to a high of $18.85 million in Q1 2026 over five years.
- On a year-over-year basis, Payables has increased in each of the last three quarters, with growth averaging 19.0% over the last eight quarters.
- The strongest year-over-year quarter for Payables in the past five years was Q4 2022, with growth of 362.8%; the weakest was Q3 2025, with a decline of 26.3%.
- According to Business Quant data, Payables for the three prior quarters was $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) | 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 | 5.89 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 | 2.00 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 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=payables&ticker=PRCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=payables&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();