Intuitive Surgical (ISRG) Change in Receivables (2009 - 2026)
Intuitive Surgical's Change in Receivables came in at $74.9 million for Q2 2026, up 57.0% from $47.7 million a year earlier.
Intuitive Surgical (ISRG) Change in Receivables (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Intuitive Surgical reported Change in Receivables of $307.4 million, up 90.9% year-over-year; for FY2025, it came in at $301.7 million, up 214.6% from FY2024.
- Going back by year, Change in Receivables was $95.9 million in FY2024 (-48.5%), $186.3 million in FY2023 (+16.9%), $159.3 million in FY2022 (+11.9%) and $142.3 million in FY2021.
- The five-year range for quarterly Change in Receivables is -$67.4 million (Q2 2022) to $267.5 million (Q4 2025).
- Year-over-year, Change in Receivables increased in two of the last four quarters, with growth averaging 58.8%.
- The fastest year-over-year change in Change in Receivables over five years came in Q1 2022 (growth of 762.9%), and the weakest in Q4 2024 (a decline of 55.5%).
- Business Quant data shows ISRG's Change in Receivables at -$25.1 million (Q1 2026), $267.5 million (Q4 2025) and -$9.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 386.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | -71.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 74.90 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 177.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 46.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 10.20 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | Agilent Technologies | 48.58 Bn | 41.47 Bn | 1.04 Bn | -22.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 74.90 Mn |
| Mar 31, 2026 | -25.10 Mn |
| Dec 31, 2025 | 267.50 Mn |
| Sep 30, 2025 | -9.90 Mn |
| Jun 30, 2025 | 47.70 Mn |
| Mar 31, 2025 | -3.60 Mn |
| Dec 31, 2024 | 74.10 Mn |
| Sep 30, 2024 | 42.80 Mn |
| Jun 30, 2024 | -18.80 Mn |
| Mar 31, 2024 | -2.20 Mn |
| Dec 31, 2023 | 166.60 Mn |
| Sep 30, 2023 | 59.00 Mn |
| Jun 30, 2023 | -22.40 Mn |
| Mar 31, 2023 | -16.90 Mn |
| Dec 31, 2022 | 92.10 Mn |
| Sep 30, 2022 | 11.20 Mn |
| Jun 30, 2022 | -67.40 Mn |
| Mar 31, 2022 | 123.40 Mn |
| Dec 31, 2021 | 87.60 Mn |
| Sep 30, 2021 | -4.90 Mn |
Intuitive Surgical Change in Receivables 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-receivables&ticker=ISRG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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-receivables&ticker=ISRG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();