Zimmer Biomet Holdings (ZBH) Receivables (2009 - 2026)
Zimmer Biomet Holdings' Receivables came in at $1.77 billion for Q2 2026, up 9.8% from $1.61 billion a year earlier and up 2.4% from the prior quarter.
Zimmer Biomet Holdings (ZBH) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Zimmer Biomet Holdings' Receivables was $1.7 billion, up 15.1% from FY2024.
- Receivables has increased in each of the last four years, with a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- Going back by year, Receivables was $1.48 billion in FY2024 (+2.7%), $1.44 billion in FY2023 (+4.4%), $1.38 billion in FY2022 (+9.7%) and $1.26 billion in FY2021 (-13.3%).
- The Q2 2026 figure represents the highest quarterly Receivables in data going back to Q2 2009.
- Year-over-year, Receivables has increased for 15 consecutive quarters, with growth averaging 9.8% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q4 2025 (growth of 15.1%), and the weakest in Q4 2021 (a decline of 13.3%).
- Business Quant data shows ZBH's Receivables at $1.73 billion (Q1 2026), $1.7 billion (Q4 2025) and $1.6 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.57 Bn | 230.60 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 177.84 Bn | 148.27 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 161.29 Bn | 145.10 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 156.16 Bn | 135.58 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 122.40 Bn | 87.65 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 117.79 Bn | 103.91 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 67.02 Bn | 61.79 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 54.46 Bn | 51.61 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 51.36 Bn | 35.37 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Zimmer Biomet Holdings | 18.83 Bn | 16.11 Bn | 1.54 Bn | 1.77 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.77 Bn |
| Mar 31, 2026 | 1.73 Bn |
| Dec 31, 2025 | 1.70 Bn |
| Sep 30, 2025 | 1.60 Bn |
| Jun 30, 2025 | 1.61 Bn |
| Mar 31, 2025 | 1.53 Bn |
| Dec 31, 2024 | 1.48 Bn |
| Sep 30, 2024 | 1.48 Bn |
| Jun 30, 2024 | 1.42 Bn |
| Mar 31, 2024 | 1.45 Bn |
| Dec 31, 2023 | 1.44 Bn |
| Sep 30, 2023 | 1.34 Bn |
| Jun 30, 2023 | 1.37 Bn |
| Mar 31, 2023 | 1.38 Bn |
| Dec 31, 2022 | 1.38 Bn |
| Sep 30, 2022 | 1.28 Bn |
| Jun 30, 2022 | 1.28 Bn |
| Mar 31, 2022 | 1.25 Bn |
| Dec 31, 2021 | 1.26 Bn |
| Sep 30, 2021 | 1.39 Bn |
Zimmer Biomet Holdings Receivables 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=receivables&ticker=ZBH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=ZBH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();