Zimmer Biomet Holdings (ZBH) EBITDA (2009 - 2026)
Zimmer Biomet Holdings' EBITDA came in at $596.9 million for Q2 2026, up 4.4% from $571.8 million a year earlier but down 7.2% from the prior quarter.
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Analysis
Zimmer Biomet Holdings (ZBH) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Zimmer Biomet Holdings reported EBITDA of $2.31 billion, up 0.5% year-over-year; for FY2025, it came in at $2.19 billion, down 3.9% from FY2024.
- EBITDA carries a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Going back by year, EBITDA was $2.28 billion in FY2024 (+2.4%), $2.23 billion in FY2023 (+37.4%), $1.62 billion in FY2022 (-9.7%) and $1.8 billion in FY2021 (+83.2%).
- The five-year range for quarterly EBITDA is $200.2 million (Q4 2022) to $652.6 million (Q4 2024).
- Year-over-year, EBITDA increased in six of the last eight quarters, with growth averaging 3.4%.
- The fastest year-over-year change in EBITDA over five years came in Q4 2023 (growth of 197.4%), and the weakest in Q4 2022 (a decline of 45.4%).
- Business Quant data shows ZBH's EBITDA at $643.2 million (Q1 2026), $438.5 million (Q4 2025) and $634.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 555.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 1.23 Bn |
| 10 | Zimmer Biomet Holdings | 16.94 Bn | 14.23 Bn | 1.54 Bn | 596.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 596.90 Mn |
| Mar 31, 2026 | 643.20 Mn |
| Dec 31, 2025 | 438.50 Mn |
| Sep 30, 2025 | 634.90 Mn |
| Jun 30, 2025 | 571.80 Mn |
| Mar 31, 2025 | 546.70 Mn |
| Dec 31, 2024 | 652.60 Mn |
| Sep 30, 2024 | 530.40 Mn |
| Jun 30, 2024 | 594.50 Mn |
| Mar 31, 2024 | 504.50 Mn |
| Dec 31, 2023 | 595.40 Mn |
| Sep 30, 2023 | 507.80 Mn |
| Jun 30, 2023 | 567.10 Mn |
| Mar 31, 2023 | 559.10 Mn |
| Dec 31, 2022 | 200.20 Mn |
| Sep 30, 2022 | 476.70 Mn |
| Jun 30, 2022 | 513.60 Mn |
| Mar 31, 2022 | 432.20 Mn |
| Dec 31, 2021 | 367.00 Mn |
| Sep 30, 2021 | 476.00 Mn |
API Access
Zimmer Biomet Holdings 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=ZBH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "ZBH", "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=ZBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();