PROCEPT BioRobotics (PRCT) Total Debt (2020 - 2026)
PROCEPT BioRobotics' Total Debt was $51.72 million in Q2 2026, up 0.4% from $51.52 million a year earlier and up 0.1% from the prior quarter.
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Analysis
PROCEPT BioRobotics (PRCT) Total Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Debt at PROCEPT BioRobotics came in at $51.62 million, up 0.3% from FY2024.
- Total Debt has now increased for five consecutive years, with a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In earlier years, Total Debt was $51.47 million in FY2024 (+0.3%), $51.34 million in FY2023 (+0.2%), $51.21 million in FY2022 (+2.4%) and $50 million in FY2021 (+2.1%).
- The Q2 2026 figure marks the highest quarterly Total Debt in data going back to Q4 2020.
- Compared with a year earlier, Total Debt has increased for 16 straight quarters, with growth averaging 0.3% over the last eight quarters.
- The year-over-year growth in Total Debt has ranged between 0.2% (Q2 2025) and 2.4% (Q4 2022) over the last five years.
- Per Business Quant data, PRCT's Total Debt in the three quarters before Q2 2026 was $51.66 million (Q1 2026), $51.62 million (Q4 2025) and $51.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.71 Bn | 227.74 Bn | 4.88 Bn | 42.55 Bn |
| 2 | Abbott Laboratories | 179.75 Bn | 150.18 Bn | 7.27 Bn | 32.61 Bn |
| 3 | Danaher | 160.55 Bn | 144.36 Bn | 3.61 Bn | 26.56 Bn |
| 4 | Intuitive Surgical | 158.73 Bn | 139.01 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.82 Bn | 88.07 Bn | 6.34 Bn | 28.15 Bn |
| 6 | Stryker | 118.16 Bn | 104.28 Bn | 4.50 Bn | 14.94 Bn |
| 7 | Boston Scientific | 66.75 Bn | 61.52 Bn | 3.85 Bn | 12.62 Bn |
| 8 | Becton Dickinson | 54.73 Bn | 51.88 Bn | 2.32 Bn | 16.81 Bn |
| 9 | Edwards Lifesciences | 51.76 Bn | 35.77 Bn | 1.35 Bn | 598.70 Mn |
| 10 | PROCEPT BioRobotics | 1.12 Bn | 67.31 Mn | 62.38 Mn | 51.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 51.72 Mn |
| Mar 31, 2026 | 51.66 Mn |
| Dec 31, 2025 | 51.62 Mn |
| Sep 30, 2025 | 51.57 Mn |
| Jun 30, 2025 | 51.52 Mn |
| Mar 31, 2025 | 51.50 Mn |
| Dec 31, 2024 | 51.47 Mn |
| Sep 30, 2024 | 51.44 Mn |
| Jun 30, 2024 | 51.40 Mn |
| Mar 31, 2024 | 51.37 Mn |
| Dec 31, 2023 | 51.34 Mn |
| Sep 30, 2023 | 51.31 Mn |
| Jun 30, 2023 | 51.28 Mn |
| Mar 31, 2023 | 51.24 Mn |
| Dec 31, 2022 | 51.21 Mn |
| Sep 30, 2022 | 50.69 Mn |
| Jun 30, 2022 | 50.51 Mn |
| Mar 31, 2022 | 50.25 Mn |
| Dec 31, 2021 | 50.00 Mn |
| Sep 30, 2021 | 49.76 Mn |
API Access
PROCEPT BioRobotics Total Debt 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=total-debt&ticker=PRCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();