Intuitive Surgical (ISRG) Change in Other Operating Liabilities (2009 - 2026)
Intuitive Surgical (ISRG) reported Change in Other Operating Liabilities of $602.4 million for Q3 2026, compared with $39.7 million a year earlier.
Intuitive Surgical (ISRG) Change in Other Operating Liabilities (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Intuitive Surgical's Change in Other Operating Liabilities came in at $740.4 million, up 309.5% year-over-year; for FY2025, it was $109.3 million, down 21.6% from FY2024.
- Change in Other Operating Liabilities has a five-year compound annual growth rate of 16.1% (FY2020 to FY2025).
- By year, Change in Other Operating Liabilities came in at $139.5 million in FY2024 (+580.5%), $20.5 million in FY2023 (-85.7%), $143.2 million in FY2022 (+70.5%) and $84 million in FY2021 (+61.8%).
- The Q3 2026 figure ranks as the highest quarterly Change in Other Operating Liabilities in data going back to Q1 2009.
- The high point for year-over-year Change in Other Operating Liabilities in five years was Q3 2023 (growth of 434.0%); the low point was Q2 2026 (a decline of 95.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $4.7 million (Q2 2026), $76.8 million (Q1 2026) and $56.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Liabilities Change (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.79 Bn | 234.30 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 190.83 Bn | 164.70 Bn | 7.39 Bn | - |
| 3 | Danaher | 162.10 Bn | 141.75 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 158.05 Bn | 138.34 Bn | 2.08 Bn | 602.40 Mn |
| 5 | Medtronic | 130.31 Bn | 95.56 Bn | 6.34 Bn | - |
| 6 | Stryker | 124.76 Bn | 110.95 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 62.03 Bn | 57.46 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 58.73 Bn | 41.94 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 58.33 Bn | 55.48 Bn | 2.32 Bn | 46.00 Mn |
| 10 | Agilent Technologies | 49.29 Bn | 42.18 Bn | 1.04 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 602.40 Mn |
| Jun 30, 2026 | 4.70 Mn |
| Mar 31, 2026 | 76.80 Mn |
| Dec 31, 2025 | 56.50 Mn |
| Sep 30, 2025 | 39.70 Mn |
| Jun 30, 2025 | 94.20 Mn |
| Mar 31, 2025 | -81.10 Mn |
| Dec 31, 2024 | 128.00 Mn |
| Sep 30, 2024 | 107.60 Mn |
| Jun 30, 2024 | -16.30 Mn |
| Mar 31, 2024 | -79.80 Mn |
| Dec 31, 2023 | -150.60 Mn |
| Sep 30, 2023 | 127.10 Mn |
| Jun 30, 2023 | 26.30 Mn |
| Mar 31, 2023 | 17.70 Mn |
| Dec 31, 2022 | 102.80 Mn |
| Sep 30, 2022 | 23.80 Mn |
| Jun 30, 2022 | -15.40 Mn |
| Mar 31, 2022 | 32.00 Mn |
| Dec 31, 2021 | 46.70 Mn |
Intuitive Surgical Change in Other Operating 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=change-in-other-operating-liabilities&ticker=ISRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-liabilities&ticker=ISRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();