Orthofix Medical (OFIX) Long-Term Debt Repayments (2010 - 2026)
Orthofix Medical's Long-Term Debt Repayments came in at $25,000 for Q2 2026, down 86.6% from $187,000 a year earlier and down 19.4% from the prior quarter.
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Analysis
Orthofix Medical (OFIX) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Orthofix Medical reported Long-Term Debt Repayments of $443,000, down 39.7% year-over-year; for FY2025, it came in at $762,000, up 7.9% from FY2024.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- Going back by year, Long-Term Debt Repayments was $706,000 in FY2024 (+8.3%), $652,000 in FY2023 (-74.9%), $2.59 million in FY2022 (+383.1%) and $537,000 in FY2021 (+66.3%).
- The Q2 2026 figure represents the lowest quarterly Long-Term Debt Repayments in data going back to Q3 2010.
- Year-over-year, Long-Term Debt Repayments increased in six of the last eight quarters, with an average decline of 15.2%.
- The fastest year-over-year change in Long-Term Debt Repayments over five years came in Q3 2021 (growth of 68.8%), and the weakest in Q1 2023 (a decline of 92.5%).
- Business Quant data shows OFIX's Long-Term Debt Repayments at $31,000 (Q1 2026), $198,000 (Q4 2025) and $189,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 1.41 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | - |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 2.00 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | - |
| 10 | Orthofix Medical | 399.65 Mn | 30.68 Mn | 149.71 Mn | 25,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25,000.00 |
| Mar 31, 2026 | 31,000.00 |
| Dec 31, 2025 | 198,000.00 |
| Sep 30, 2025 | 189,000.00 |
| Jun 30, 2025 | 187,000.00 |
| Mar 31, 2025 | 188,000.00 |
| Dec 31, 2024 | 181,000.00 |
| Sep 30, 2024 | 179,000.00 |
| Jun 30, 2024 | 174,000.00 |
| Mar 31, 2024 | 172,000.00 |
| Dec 31, 2023 | 169,000.00 |
| Sep 30, 2023 | 163,000.00 |
| Jun 30, 2023 | 160,000.00 |
| Mar 31, 2023 | 160,000.00 |
| Dec 31, 2022 | 153,000.00 |
| Sep 30, 2022 | 150,000.00 |
| Jun 30, 2022 | 150,000.00 |
| Mar 31, 2022 | 2.14 Mn |
| Dec 31, 2021 | 142,000.00 |
| Sep 30, 2021 | 135,000.00 |
API Access
Orthofix Medical Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=OFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();