Boston Scientific (BSX) Depreciation and Depletion (2020 - 2026)
Boston Scientific (BSX) recorded Depreciation and Depletion of $122 million in Q2 2026, up 9.9% from $111 million a year earlier and up 3.4% from the prior quarter.
Boston Scientific (BSX) Depreciation and Depletion (2020 - 2026) Analysis & Trends
On a TTM basis, Boston Scientific's Depreciation and Depletion came in at $494 million as of Jun 30, 2026, up 12.0% year-over-year; for FY2025, it was $471 million, up 14.3% from FY2024.
- Annual Depreciation and Depletion has increased for three straight years, with a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $412 million in FY2024 (+12.3%), $367 million in FY2023 (+10.2%), $333 million in FY2022 (-5.4%) and $352 million in FY2021 (+5.7%).
- Quarterly Depreciation and Depletion has ranged from $76 million in Q1 2022 to $137 million in Q4 2025 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has increased for 14 consecutive quarters, with growth averaging 13.3% over the last eight quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 17.8% in Q1 2025, against a decline of 8.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $118 million (Q1 2026), $137 million (Q4 2025) and $117 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 241.25 Bn | 220.40 Bn | 4.88 Bn | 331.00 Mn |
| 2 | Abbott Laboratories | 167.33 Bn | 138.41 Bn | 7.27 Bn | 402.00 Mn |
| 3 | Danaher | 148.83 Bn | 132.65 Bn | 3.61 Bn | 196.00 Mn |
| 4 | Intuitive Surgical | 142.00 Bn | 121.55 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.70 Bn | 76.57 Bn | 6.34 Bn | 317.00 Mn |
| 6 | Stryker | 104.72 Bn | 90.84 Bn | 4.50 Bn | 121.00 Mn |
| 7 | Boston Scientific | 62.66 Bn | 57.67 Bn | 3.85 Bn | 122.00 Mn |
| 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 | 24.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.00 Mn |
| Mar 31, 2026 | 118.00 Mn |
| Dec 31, 2025 | 137.00 Mn |
| Sep 30, 2025 | 117.00 Mn |
| Jun 30, 2025 | 111.00 Mn |
| Mar 31, 2025 | 106.00 Mn |
| Dec 31, 2024 | 122.00 Mn |
| Sep 30, 2024 | 102.00 Mn |
| Jun 30, 2024 | 98.00 Mn |
| Mar 31, 2024 | 90.00 Mn |
| Dec 31, 2023 | 104.00 Mn |
| Sep 30, 2023 | 93.00 Mn |
| Jun 30, 2023 | 88.00 Mn |
| Mar 31, 2023 | 82.00 Mn |
| Dec 31, 2022 | 95.00 Mn |
| Sep 30, 2022 | 82.00 Mn |
| Jun 30, 2022 | 80.00 Mn |
| Mar 31, 2022 | 76.00 Mn |
| Dec 31, 2021 | 98.00 Mn |
| Sep 30, 2021 | 88.00 Mn |
Boston Scientific Depreciation and Depletion 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=depreciation-and-depletion&ticker=BSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=BSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();