Boston Scientific (BSX) Retained Earnings (2009 - 2026)
Boston Scientific (BSX) posted Retained Earnings of $7.82 billion for Q2 2026, up 88.7% from $4.14 billion a year earlier and up 13.1% from the prior quarter.
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Analysis
Boston Scientific (BSX) Retained Earnings (2009 - 2026) Analysis & Trends
At the end of FY2025, Boston Scientific's Retained Earnings came in at $5.57 billion, up 108.4% from FY2024.
- In prior years, Boston Scientific's Retained Earnings was $2.67 billion in FY2024 (+226.4%), $819 million in FY2023, -$750 million in FY2022 and -$1.39 billion in FY2021.
- The Q2 2026 figure stands as the highest quarterly Retained Earnings in data going back to Q2 2009.
- On a year-over-year basis, Retained Earnings has increased in each of the last eight quarters, with growth averaging 192.4% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 88.7% (Q2 2026) to 568.9% (Q3 2024).
- According to Business Quant data, Retained Earnings for the three prior quarters was $6.91 billion (Q1 2026), $5.57 billion (Q4 2025) and $4.9 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 62.19 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 49.79 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 48.23 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 6.84 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 33.19 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 21.82 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 7.82 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 17.51 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 14.86 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 1.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.82 Bn |
| Mar 31, 2026 | 6.91 Bn |
| Dec 31, 2025 | 5.57 Bn |
| Sep 30, 2025 | 4.90 Bn |
| Jun 30, 2025 | 4.14 Bn |
| Mar 31, 2025 | 3.35 Bn |
| Dec 31, 2024 | 2.67 Bn |
| Sep 30, 2024 | 2.11 Bn |
| Jun 30, 2024 | 1.64 Bn |
| Mar 31, 2024 | 1.31 Bn |
| Dec 31, 2023 | 819.00 Mn |
| Sep 30, 2023 | 315.00 Mn |
| Jun 30, 2023 | -189.00 Mn |
| Mar 31, 2023 | -450.00 Mn |
| Dec 31, 2022 | -750.00 Mn |
| Sep 30, 2022 | -876.00 Mn |
| Jun 30, 2022 | -1.05 Bn |
| Mar 31, 2022 | -1.30 Bn |
| Dec 31, 2021 | -1.39 Bn |
| Sep 30, 2021 | -1.47 Bn |
API Access
Boston Scientific Retained Earnings 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=retained-earnings&ticker=BSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "BSX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();