Zimmer Biomet Holdings (ZBH) Other Accumulated Expenses (2009 - 2026)
Zimmer Biomet Holdings (ZBH) posted Other Accumulated Expenses of $1.13 billion for Q2 2026, down 26.5% from $1.53 billion a year earlier but up 8.9% from the prior quarter.
Zimmer Biomet Holdings (ZBH) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Zimmer Biomet Holdings' Other Accumulated Expenses came in at $1.22 billion, down 12.7% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -6.1% (FY2020 to FY2025).
- In prior years, Zimmer Biomet Holdings' Other Accumulated Expenses was $1.39 billion in FY2024 (-9.9%), $1.55 billion in FY2023 (+8.8%), $1.42 billion in FY2022 (+7.9%) and $1.32 billion in FY2021 (-21.0%).
- Quarterly Other Accumulated Expenses has run from a low of $1.03 billion in Q1 2026 to a high of $1.55 billion in Q4 2023 over five years.
- On a year-over-year basis, Other Accumulated Expenses has declined in each of the last four quarters, with an average decline of 6.1% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q1 2024, with growth of 29.2%; the weakest was Q2 2022, with a decline of 30.0%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $1.03 billion (Q1 2026), $1.22 billion (Q4 2025) and $1.49 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Zimmer Biomet Holdings | 16.83 Bn | 14.12 Bn | 1.54 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.13 Bn |
| Mar 31, 2026 | 1.03 Bn |
| Dec 31, 2025 | 1.22 Bn |
| Sep 30, 2025 | 1.49 Bn |
| Jun 30, 2025 | 1.53 Bn |
| Mar 31, 2025 | 1.39 Bn |
| Dec 31, 2024 | 1.39 Bn |
| Sep 30, 2024 | 1.54 Bn |
| Jun 30, 2024 | 1.39 Bn |
| Mar 31, 2024 | 1.39 Bn |
| Dec 31, 2023 | 1.55 Bn |
| Sep 30, 2023 | 1.30 Bn |
| Jun 30, 2023 | 1.28 Bn |
| Mar 31, 2023 | 1.07 Bn |
| Dec 31, 2022 | 1.42 Bn |
| Sep 30, 2022 | 1.16 Bn |
| Jun 30, 2022 | 1.03 Bn |
| Mar 31, 2022 | 1.12 Bn |
| Dec 31, 2021 | 1.32 Bn |
| Sep 30, 2021 | 1.44 Bn |
Zimmer Biomet Holdings Other Accumulated Expenses 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=other-accumulated-expenses&ticker=ZBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=ZBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();