Intuitive Surgical (ISRG) Total Liabilities (2009 - 2026)
Intuitive Surgical (ISRG) posted Total Liabilities of $2.58 billion for Q2 2026, up 16.7% from $2.21 billion a year earlier and up 2.6% from the prior quarter.
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Analysis
Intuitive Surgical (ISRG) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Intuitive Surgical's Total Liabilities came in at $2.52 billion, up 13.7% from FY2024.
- Annual Total Liabilities has increased for five consecutive years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In prior years, Intuitive Surgical's Total Liabilities was $2.21 billion in FY2024 (+8.3%), $2.04 billion in FY2023 (+9.8%), $1.86 billion in FY2022 (+16.1%) and $1.6 billion in FY2021 (+13.7%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q2 2009.
- On a year-over-year basis, Total Liabilities has increased in each of the last seven quarters, with growth averaging 13.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 24.9%; the weakest was Q2 2024, with a decline of 4.6%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.51 billion (Q1 2026), $2.52 billion (Q4 2025) and $2.31 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Agilent Technologies | 49.34 Bn | 42.23 Bn | 1.04 Bn | 6.60 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.58 Bn |
| Mar 31, 2026 | 2.51 Bn |
| Dec 31, 2025 | 2.52 Bn |
| Sep 30, 2025 | 2.31 Bn |
| Jun 30, 2025 | 2.21 Bn |
| Mar 31, 2025 | 2.01 Bn |
| Dec 31, 2024 | 2.21 Bn |
| Sep 30, 2024 | 2.07 Bn |
| Jun 30, 2024 | 1.85 Bn |
| Mar 31, 2024 | 1.78 Bn |
| Dec 31, 2023 | 2.04 Bn |
| Sep 30, 2023 | 2.09 Bn |
| Jun 30, 2023 | 1.94 Bn |
| Mar 31, 2023 | 1.76 Bn |
| Dec 31, 2022 | 1.86 Bn |
| Sep 30, 2022 | 1.69 Bn |
| Jun 30, 2022 | 1.62 Bn |
| Mar 31, 2022 | 1.52 Bn |
| Dec 31, 2021 | 1.60 Bn |
| Sep 30, 2021 | 1.48 Bn |
API Access
Intuitive Surgical Total 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-liabilities&ticker=ISRG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ISRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();