PROCEPT BioRobotics (PRCT) Capital Expenditures (2020 - 2026)
PROCEPT BioRobotics (PRCT) posted Capital Expenditures of $2.95 million for Q2 2026, up 5.4% from $2.8 million a year earlier and up 1.3% from the prior quarter.
PROCEPT BioRobotics (PRCT) Capital Expenditures (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Capital Expenditures at PROCEPT BioRobotics was $10.59 million, up 74.7% year-over-year; for FY2025, it came in at $9.36 million, up 112.2% from FY2024.
- Annual Capital Expenditures shows a five-year compound annual growth rate of 109.3% (FY2020 to FY2025).
- In prior years, PROCEPT BioRobotics' Capital Expenditures was $4.41 million in FY2024 (-82.5%), $25.21 million in FY2023 (+850.1%), $2.65 million in FY2022 (+348.1%) and $592,000 in FY2021 (+154.1%).
- The Q2 2026 figure stands as the highest quarterly Capital Expenditures since Q4 2023.
- On a year-over-year basis, Capital Expenditures has increased in each of the last three quarters, with growth averaging 14.6% over the last seven quarters.
- The strongest year-over-year quarter for Capital Expenditures in the past five years was Q4 2023, with growth of 906.4%; the weakest was Q3 2024, with a decline of 95.7%.
- According to Business Quant data, Capital Expenditures for the three prior quarters was $2.91 million (Q1 2026), $1.85 million (Q4 2025) and $2.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 113.10 Mn |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 143.00 Mn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 66.90 Mn |
| 10 | PROCEPT BioRobotics | 1.14 Bn | 84.15 Mn | 62.38 Mn | 2.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.95 Mn |
| Mar 31, 2026 | 2.91 Mn |
| Dec 31, 2025 | 1.85 Mn |
| Sep 30, 2025 | 2.87 Mn |
| Jun 30, 2025 | 2.80 Mn |
| Mar 31, 2025 | 1.84 Mn |
| Dec 31, 2024 | 1.17 Mn |
| Sep 30, 2024 | 246,000.00 |
| Jun 30, 2024 | 1.04 Mn |
| Mar 31, 2024 | 1.95 Mn |
| Dec 31, 2023 | 8.72 Mn |
| Sep 30, 2023 | 5.78 Mn |
| Jun 30, 2023 | 5.37 Mn |
| Mar 31, 2023 | 5.34 Mn |
| Dec 31, 2022 | 866,000.00 |
| Sep 30, 2022 | 1.51 Mn |
| Jun 30, 2022 | 218,000.00 |
| Mar 31, 2022 | 55,000.00 |
| Dec 31, 2021 | 332,000.00 |
| Sep 30, 2021 | 111,000.00 |
PROCEPT BioRobotics Capital Expenditures 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=capital-expenditures&ticker=PRCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();