PROCEPT BioRobotics (PRCT) Total Non-Current Liabilities (2020 - 2026)
PROCEPT BioRobotics' Total Non-Current Liabilities came in at $139.19 million for Q2 2026, up 9.6% from $127.04 million a year earlier but down 0.1% from the prior quarter.
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Analysis
PROCEPT BioRobotics (PRCT) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, PROCEPT BioRobotics' Total Non-Current Liabilities was $142.06 million, up 8.1% from FY2024.
- Total Non-Current Liabilities has increased in each of the last four years, though with a five-year compound annual growth rate of -14.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $131.47 million in FY2024 (+6.5%), $123.45 million in FY2023 (+11.7%), $110.48 million in FY2022 (+61.4%) and $68.44 million in FY2021 (-77.7%).
- The five-year range for quarterly Total Non-Current Liabilities is $66.63 million (Q1 2022) to $142.06 million (Q4 2025).
- Year-over-year, Total Non-Current Liabilities has increased for three consecutive quarters, with growth averaging 6.8% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2023 (growth of 64.4%), and the weakest in Q4 2021 (a decline of 77.7%).
- Business Quant data shows PRCT's Total Non-Current Liabilities at $139.27 million (Q1 2026), $142.06 million (Q4 2025) and $130.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.13 Bn | 229.16 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 180.31 Bn | 150.74 Bn | 7.27 Bn | - |
| 3 | Danaher | 162.34 Bn | 146.15 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 158.13 Bn | 138.42 Bn | 2.08 Bn | - |
| 5 | Medtronic | 122.37 Bn | 87.63 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 117.89 Bn | 104.00 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 67.15 Bn | 61.92 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 54.68 Bn | 51.83 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 51.43 Bn | 35.44 Bn | 1.35 Bn | 2.19 Bn |
| 10 | PROCEPT BioRobotics | 1.14 Bn | 84.15 Mn | 62.38 Mn | 139.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 139.19 Mn |
| Mar 31, 2026 | 139.27 Mn |
| Dec 31, 2025 | 142.06 Mn |
| Sep 30, 2025 | 130.69 Mn |
| Jun 30, 2025 | 127.04 Mn |
| Mar 31, 2025 | 129.89 Mn |
| Dec 31, 2024 | 131.47 Mn |
| Sep 30, 2024 | 132.45 Mn |
| Jun 30, 2024 | 122.09 Mn |
| Mar 31, 2024 | 118.34 Mn |
| Dec 31, 2023 | 123.45 Mn |
| Sep 30, 2023 | 119.91 Mn |
| Jun 30, 2023 | 114.71 Mn |
| Mar 31, 2023 | 109.53 Mn |
| Dec 31, 2022 | 110.48 Mn |
| Sep 30, 2022 | 101.47 Mn |
| Jun 30, 2022 | 69.97 Mn |
| Mar 31, 2022 | 66.43 Mn |
| Dec 31, 2021 | 68.24 Mn |
| Sep 30, 2021 | 66.49 Mn |
API Access
PROCEPT BioRobotics Total Non-Current Liabilities 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-non-current-liabilities&ticker=PRCT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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-non-current-liabilities&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();