Intuitive Surgical (ISRG) Total Current Liabilities (2009 - 2026)
Intuitive Surgical (ISRG) reported Total Current Liabilities of $1.92 billion for Q2 2026, up 13.6% from $1.69 billion a year earlier and up 0.6% from the prior quarter.
Intuitive Surgical (ISRG) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Intuitive Surgical posted Total Current Liabilities of $2.01 billion, up 14.9% from FY2024.
- Total Current Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $1.75 billion in FY2024 (+5.2%), $1.66 billion in FY2023 (+16.6%), $1.42 billion in FY2022 (+23.7%) and $1.15 billion in FY2021 (+19.1%).
- Five-year quarterly Total Current Liabilities spans a low of $1.03 billion in Q3 2021 and a high of $2.01 billion in Q4 2025.
- Year over year, Total Current Liabilities has now increased in each of the last seven quarters, with growth averaging 11.4% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q3 2023 (growth of 35.9%); the low point was Q2 2024 (a decline of 3.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.91 billion (Q1 2026), $2.01 billion (Q4 2025) and $1.8 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 9.40 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.51 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 2.29 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.92 Bn |
| Mar 31, 2026 | 1.91 Bn |
| Dec 31, 2025 | 2.01 Bn |
| Sep 30, 2025 | 1.80 Bn |
| Jun 30, 2025 | 1.69 Bn |
| Mar 31, 2025 | 1.54 Bn |
| Dec 31, 2024 | 1.75 Bn |
| Sep 30, 2024 | 1.68 Bn |
| Jun 30, 2024 | 1.49 Bn |
| Mar 31, 2024 | 1.38 Bn |
| Dec 31, 2023 | 1.66 Bn |
| Sep 30, 2023 | 1.68 Bn |
| Jun 30, 2023 | 1.54 Bn |
| Mar 31, 2023 | 1.31 Bn |
| Dec 31, 2022 | 1.42 Bn |
| Sep 30, 2022 | 1.23 Bn |
| Jun 30, 2022 | 1.18 Bn |
| Mar 31, 2022 | 1.11 Bn |
| Dec 31, 2021 | 1.15 Bn |
| Sep 30, 2021 | 1.03 Bn |
Intuitive Surgical 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=ISRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ISRG", "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=ISRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();