Intuitive Surgical (ISRG) Prepaid Assets (2009 - 2026)
Intuitive Surgical (ISRG) posted Prepaid Assets of $624.6 million for Q2 2026, up 29.3% from $483.2 million a year earlier but down 16.9% from the prior quarter.
Intuitive Surgical (ISRG) Prepaid Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Intuitive Surgical's Prepaid Assets came in at $477.3 million, up 23.9% from FY2024.
- Annual Prepaid Assets has increased for ten consecutive years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In prior years, Intuitive Surgical's Prepaid Assets was $385.1 million in FY2024 (+22.6%), $314 million in FY2023 (+4.7%), $299.8 million in FY2022 (+10.6%) and $271.1 million in FY2021 (+1.3%).
- Quarterly Prepaid Assets has run from a low of $258.5 million in Q1 2022 to a high of $751.5 million in Q1 2026 over five years.
- On a year-over-year basis, Prepaid Assets has increased in each of the last five quarters, with growth averaging 33.0% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q1 2026, with growth of 102.3%; the weakest was Q3 2022, with a decline of 18.7%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $751.5 million (Q1 2026), $477.3 million (Q4 2025) and $574.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.13 Bn | 33.24 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.51 Bn | 45.66 Bn | 2.32 Bn |
| 10 | Agilent Technologies | 46.99 Bn | 39.88 Bn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 624.60 Mn |
| Mar 31, 2026 | 751.50 Mn |
| Dec 31, 2025 | 477.30 Mn |
| Sep 30, 2025 | 574.90 Mn |
| Jun 30, 2025 | 483.20 Mn |
| Mar 31, 2025 | 371.40 Mn |
| Dec 31, 2024 | 385.10 Mn |
| Sep 30, 2024 | 349.20 Mn |
| Jun 30, 2024 | 404.10 Mn |
| Mar 31, 2024 | 405.40 Mn |
| Dec 31, 2023 | 314.00 Mn |
| Sep 30, 2023 | 317.00 Mn |
| Jun 30, 2023 | 323.20 Mn |
| Mar 31, 2023 | 312.90 Mn |
| Dec 31, 2022 | 299.80 Mn |
| Sep 30, 2022 | 292.50 Mn |
| Jun 30, 2022 | 292.60 Mn |
| Mar 31, 2022 | 258.50 Mn |
| Dec 31, 2021 | 271.10 Mn |
| Sep 30, 2021 | 359.90 Mn |
Intuitive Surgical Prepaid Assets 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=prepaid-assets&ticker=ISRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=ISRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();