Intuitive Surgical (ISRG) Total Non-Current Liabilities (2009 - 2026)
Intuitive Surgical's Total Non-Current Liabilities was $669.3 million in Q4 2017, up 20.9% from $553.8 million a year earlier and up 8.7% from the prior quarter.
Intuitive Surgical (ISRG) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
From Q2 2009 onward, Intuitive Surgical has reported Total Non-Current Liabilities for 35 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 10.8% (FY2012 to FY2017).
- In earlier years, Total Non-Current Liabilities was $553.8 million in FY2016 (+12.6%), $491.9 million in FY2015 (-1.9%), $501.2 million in FY2014 (+31.6%) and $380.9 million in FY2013 (-5.2%).
- The Q4 2017 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q2 2009.
- Compared with a year earlier, Total Non-Current Liabilities has increased for seven straight quarters, with growth averaging 13.6% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2014 (growth of 31.6%); the worst was Q4 2013 (a decline of 5.2%).
- Per Business Quant data, ISRG's Total Non-Current Liabilities in the three quarters before Q4 2017 was $615.7 million (Q3 2017), $599.8 million (Q2 2017) and $558.2 million (Q1 2017).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.20 Bn | 235.84 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 185.80 Bn | 160.26 Bn | 7.39 Bn | - |
| 3 | Danaher | 162.65 Bn | 142.30 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 155.57 Bn | 135.86 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 132.16 Bn | 97.68 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 119.74 Bn | 105.93 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.30 Bn | 59.73 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 61.94 Bn | 45.15 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Agilent Technologies | 48.79 Bn | 41.68 Bn | 1.04 Bn | 6.06 Bn |
| 10 | GE HealthCare Technologies | 37.40 Bn | 25.63 Bn | 2.22 Bn | 24.44 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.53 Bn |
| 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 | 189.60 Mn |
| 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 |
Intuitive Surgical 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=ISRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=ISRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();