PROCEPT BioRobotics (PRCT) Total Current Liabilities (2020 - 2026)
PROCEPT BioRobotics (PRCT) posted Total Current Liabilities of $70.35 million for Q3 2026, up 30.5% from $53.9 million a year earlier and up 9.6% from the prior quarter.
PROCEPT BioRobotics (PRCT) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, PROCEPT BioRobotics' Total Current Liabilities came in at $65.8 million, up 23.8% from FY2024.
- Annual Total Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 35.3% (FY2020 to FY2025).
- In prior years, PROCEPT BioRobotics' Total Current Liabilities was $53.13 million in FY2024 (+15.7%), $45.93 million in FY2023 (+30.1%), $35.29 million in FY2022 (+117.3%) and $16.24 million in FY2021 (+11.8%).
- The Q3 2026 figure stands as the highest quarterly Total Current Liabilities in data going back to Q4 2020.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 17 quarters, with growth averaging 21.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Current Liabilities ranged from 0.5% (Q3 2025) to 120.3% (Q1 2023).
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $64.2 million (Q2 2026), $63.64 million (Q1 2026) and $65.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 14.17 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 16.15 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 9.05 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 6.50 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 5.98 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 1.58 Bn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 3.13 Bn |
| 10 | PROCEPT BioRobotics | 1.37 Bn | 388.62 Mn | 65.15 Mn | 70.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 70.35 Mn |
| Jun 30, 2026 | 64.20 Mn |
| Mar 31, 2026 | 63.64 Mn |
| Dec 31, 2025 | 65.80 Mn |
| Sep 30, 2025 | 53.90 Mn |
| Jun 30, 2025 | 49.73 Mn |
| Mar 31, 2025 | 52.06 Mn |
| Dec 31, 2024 | 53.13 Mn |
| Sep 30, 2024 | 53.65 Mn |
| Jun 30, 2024 | 42.85 Mn |
| Mar 31, 2024 | 38.65 Mn |
| Dec 31, 2023 | 45.93 Mn |
| Sep 30, 2023 | 41.36 Mn |
| Jun 30, 2023 | 35.95 Mn |
| Mar 31, 2023 | 32.50 Mn |
| Dec 31, 2022 | 35.29 Mn |
| Sep 30, 2022 | 27.36 Mn |
| Jun 30, 2022 | 18.63 Mn |
| Mar 31, 2022 | 14.76 Mn |
| Dec 31, 2021 | 16.24 Mn |
PROCEPT BioRobotics Total 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-current-liabilities&ticker=PRCT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=PRCT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();