Stryker (SYK) EBITDA (2009 - 2026)
Stryker (SYK) recorded EBITDA of $1.96 billion in Q2 2026, up 38.8% from $1.41 billion a year earlier and up 58.2% from the prior quarter.
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Analysis
Stryker (SYK) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Stryker's EBITDA came in at $6.76 billion as of Jun 30, 2026, up 43.2% year-over-year; for FY2025, it was $6.08 billion, up 28.3% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $4.74 billion in FY2024 (-3.6%), $4.92 billion in FY2023 (+28.1%), $3.84 billion in FY2022 (+7.4%) and $3.57 billion in FY2021 (+17.8%).
- Quarterly EBITDA has ranged from $689 million in Q1 2022 to $2.12 billion in Q4 2025 over the past five years.
- On a year-over-year basis, EBITDA has increased for five consecutive quarters, with growth averaging 21.9% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 150.9% in Q4 2025, against a decline of 43.9% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.24 billion (Q1 2026), $2.12 billion (Q4 2025) and $1.44 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 510.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.96 Bn |
| Mar 31, 2026 | 1.24 Bn |
| Dec 31, 2025 | 2.12 Bn |
| Sep 30, 2025 | 1.44 Bn |
| Jun 30, 2025 | 1.41 Bn |
| Mar 31, 2025 | 1.11 Bn |
| Dec 31, 2024 | 845.00 Mn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 1.31 Bn |
| Mar 31, 2024 | 1.23 Bn |
| Dec 31, 2023 | 1.51 Bn |
| Sep 30, 2023 | 1.19 Bn |
| Jun 30, 2023 | 1.22 Bn |
| Mar 31, 2023 | 992.00 Mn |
| Dec 31, 2022 | 1.07 Bn |
| Sep 30, 2022 | 1.06 Bn |
| Jun 30, 2022 | 1.03 Bn |
| Mar 31, 2022 | 689.00 Mn |
| Dec 31, 2021 | 1.06 Bn |
| Sep 30, 2021 | 809.00 Mn |
API Access
Stryker EBITDA 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=ebitda&ticker=SYK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SYK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=SYK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();