PROCEPT BioRobotics (PRCT) Operating Expenses (2020 - 2026)
PROCEPT BioRobotics' Operating Expenses came in at $89.77 million for Q2 2026, up 21.4% from $73.94 million a year earlier and up 3.7% from the prior quarter.
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Analysis
PROCEPT BioRobotics (PRCT) Operating Expenses (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, PROCEPT BioRobotics reported Operating Expenses of $330.87 million, up 23.3% year-over-year; for FY2025, it came in at $300.09 million, up 28.4% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 45.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $233.71 million in FY2024 (+29.7%), $180.22 million in FY2023 (+53.0%), $117.81 million in FY2022 (+68.2%) and $70.03 million in FY2021 (+50.4%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q3 2020.
- Year-over-year, Operating Expenses has increased for 20 consecutive quarters, with growth averaging 26.9% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 20.9% (Q1 2026) and 89.8% (Q3 2022) over the last five years.
- Business Quant data shows PRCT's Operating Expenses at $86.55 million (Q1 2026), $77.35 million (Q4 2025) and $77.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.17 Bn | 228.32 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 179.42 Bn | 150.51 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 161.98 Bn | 145.80 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 156.76 Bn | 137.18 Bn | 2.08 Bn | 1.49 Bn |
| 5 | Medtronic | 122.13 Bn | 88.00 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 117.84 Bn | 103.96 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 66.19 Bn | 61.20 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Becton Dickinson | 54.16 Bn | 51.31 Bn | 2.32 Bn | 4.32 Bn |
| 9 | Edwards Lifesciences | 51.35 Bn | 35.47 Bn | 1.35 Bn | 840.10 Mn |
| 10 | PROCEPT BioRobotics | 1.14 Bn | 88.31 Mn | 62.38 Mn | 89.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 89.77 Mn |
| Mar 31, 2026 | 86.55 Mn |
| Dec 31, 2025 | 77.35 Mn |
| Sep 30, 2025 | 77.20 Mn |
| Jun 30, 2025 | 73.94 Mn |
| Mar 31, 2025 | 71.60 Mn |
| Dec 31, 2024 | 63.38 Mn |
| Sep 30, 2024 | 59.34 Mn |
| Jun 30, 2024 | 58.31 Mn |
| Mar 31, 2024 | 52.68 Mn |
| Dec 31, 2023 | 50.81 Mn |
| Sep 30, 2023 | 44.48 Mn |
| Jun 30, 2023 | 44.05 Mn |
| Mar 31, 2023 | 40.87 Mn |
| Dec 31, 2022 | 35.72 Mn |
| Sep 30, 2022 | 32.34 Mn |
| Jun 30, 2022 | 26.36 Mn |
| Mar 31, 2022 | 23.40 Mn |
| Dec 31, 2021 | 21.35 Mn |
| Sep 30, 2021 | 17.04 Mn |
API Access
PROCEPT BioRobotics Operating Expenses 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=operating-expenses&ticker=PRCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();