PROCEPT BioRobotics (PRCT) Non-Current Debt (2020 - 2026)
PROCEPT BioRobotics (PRCT) posted Non-Current Debt of $51.72 million for Q2 2026, up 0.4% from $51.52 million a year earlier and up 0.1% from the prior quarter.
PROCEPT BioRobotics (PRCT) Non-Current Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, PROCEPT BioRobotics' Non-Current Debt came in at $51.62 million, up 0.3% from FY2024.
- Annual Non-Current Debt has increased for five consecutive years, with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, PROCEPT BioRobotics' Non-Current 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 (+12.6%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Debt in data going back to Q4 2020.
- On a year-over-year basis, Non-Current Debt has increased in each of the last 16 quarters, with growth averaging 0.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Non-Current Debt ranged from 0.2% (Q2 2025) to 12.6% (Q4 2021).
- According to Business Quant data, Non-Current Debt for the three prior quarters was $51.66 million (Q1 2026), $51.62 million (Q4 2025) and $51.57 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 248.22 Bn | 227.25 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 178.33 Bn | 148.76 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 159.74 Bn | 143.54 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 158.45 Bn | 138.74 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.77 Bn | 88.02 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 118.25 Bn | 104.37 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 66.98 Bn | 61.75 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Becton Dickinson | 54.49 Bn | 51.64 Bn | 2.32 Bn | 13.51 Bn |
| 9 | Edwards Lifesciences | 51.67 Bn | 35.68 Bn | 1.35 Bn | 598.70 Mn |
| 10 | PROCEPT BioRobotics | 1.13 Bn | 79.01 Mn | 62.38 Mn | 51.72 Mn |
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 |
PROCEPT BioRobotics Non-Current 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=non-current-debt&ticker=PRCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-debt&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();