Orthofix Medical (OFIX) Total Liabilities (2010 - 2026)
Orthofix Medical (OFIX) recorded Total Liabilities of $443.84 million in Q2 2026, up 17.2% from $378.81 million a year earlier but down 1.7% from the prior quarter.
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Analysis
Orthofix Medical (OFIX) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Orthofix Medical reported Total Liabilities of $400.61 million, up 2.7% from FY2024.
- Annual Total Liabilities has increased for three straight years, with a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $390.17 million in FY2024 (+19.5%), $326.59 million in FY2023 (+168.2%), $121.77 million in FY2022 (-12.8%) and $139.69 million in FY2021 (-17.3%).
- Quarterly Total Liabilities has ranged from $116.12 million in Q3 2022 to $451.42 million in Q1 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for 14 consecutive quarters, with growth averaging 14.5% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 168.2% in Q4 2023, against a decline of 20.5% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $451.42 million (Q1 2026), $400.61 million (Q4 2025) and $390.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Orthofix Medical | 400.78 Mn | 31.81 Mn | 149.71 Mn | 443.84 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 443.84 Mn |
| Mar 31, 2026 | 451.42 Mn |
| Dec 31, 2025 | 400.61 Mn |
| Sep 30, 2025 | 390.12 Mn |
| Jun 30, 2025 | 378.81 Mn |
| Mar 31, 2025 | 364.85 Mn |
| Dec 31, 2024 | 390.17 Mn |
| Sep 30, 2024 | 341.95 Mn |
| Jun 30, 2024 | 335.99 Mn |
| Mar 31, 2024 | 335.74 Mn |
| Dec 31, 2023 | 326.59 Mn |
| Sep 30, 2023 | 290.17 Mn |
| Jun 30, 2023 | 261.30 Mn |
| Mar 31, 2023 | 252.98 Mn |
| Dec 31, 2022 | 121.77 Mn |
| Sep 30, 2022 | 116.12 Mn |
| Jun 30, 2022 | 119.71 Mn |
| Mar 31, 2022 | 126.42 Mn |
| Dec 31, 2021 | 139.69 Mn |
| Sep 30, 2021 | 135.56 Mn |
API Access
Orthofix Medical Total Liabilities 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=total-liabilities&ticker=OFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "OFIX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-liabilities&ticker=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();