PROCEPT BioRobotics (PRCT) Operating Margin (2020 - 2026)
PROCEPT BioRobotics' Operating Margin was -28.98% in Q2 2026, down 0.96 percentage points from -28.02% a year earlier but up 10.24 percentage points from the prior quarter.
PROCEPT BioRobotics (PRCT) Operating Margin (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, PROCEPT BioRobotics' Operating Margin was -33.86% through Jun 30, 2026, down 0.49 percentage points year-over-year; for FY2025, it was -33.71%, up 9.32 percentage points from FY2024.
- Operating Margin has now increased for five consecutive years, with a five-year change of +585.72 percentage points (FY2020 to FY2025).
- In earlier years, Operating Margin was -43.04% in FY2024 (+37.12 pp), -80.16% in FY2023 (+27.45 pp), -107.61% in FY2022 (+49.51 pp) and -157.12% in FY2021 (+462.32 pp).
- Quarterly Operating Margin has moved between -166.02% (Q4 2021) and -27.83% (Q3 2025) over five years.
- Compared with a year earlier, Operating Margin was higher in six of the last eight quarters, with an average year-over-year change of +14.56 percentage points.
- The best year-over-year quarter for Operating Margin over five years was Q3 2021 (a gain of 373.39 percentage points); the worst was Q4 2025 (a drop of 11.75 percentage points).
- Per Business Quant data, PRCT's Operating Margin in the three quarters before Q2 2026 was -39.22% (Q1 2026), -40.64% (Q4 2025) and -27.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | 19.44% |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 21.65% |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 13.31% |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 29.48% |
| 10 | PROCEPT BioRobotics | 1.14 Bn | 84.15 Mn | 62.38 Mn | -28.98% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -28.98% |
| Mar 31, 2026 | -39.22% |
| Dec 31, 2025 | -40.64% |
| Sep 30, 2025 | -27.83% |
| Jun 30, 2025 | -28.02% |
| Mar 31, 2025 | -39.67% |
| Dec 31, 2024 | -28.89% |
| Sep 30, 2024 | -38.42% |
| Jun 30, 2024 | -50.28% |
| Mar 31, 2024 | -62.08% |
| Dec 31, 2023 | -67.82% |
| Sep 30, 2023 | -72.96% |
| Jun 30, 2023 | -77.41% |
| Mar 31, 2023 | -116.28% |
| Dec 31, 2022 | -105.31% |
| Sep 30, 2022 | -108.63% |
| Jun 30, 2022 | -107.09% |
| Mar 31, 2022 | -110.61% |
| Dec 31, 2021 | -166.02% |
| Sep 30, 2021 | -147.63% |
PROCEPT BioRobotics Operating Margin 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-margin&ticker=PRCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();