Orthofix Medical (OFIX) Non-Current Assets (2010 - 2026)
Orthofix Medical (OFIX) recorded Non-Current Assets of $426.89 million in Q2 2026, down 3.3% from $441.33 million a year earlier but up 0.4% from the prior quarter.
Orthofix Medical (OFIX) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Orthofix Medical reported Non-Current Assets of $433.8 million, down 5.7% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 11.2% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $460.01 million in FY2024 (-8.9%), $504.87 million in FY2023 (+149.1%), $202.64 million in FY2022 (-2.2%) and $207.1 million in FY2021 (-18.9%).
- Quarterly Non-Current Assets has ranged from $202.64 million in Q4 2022 to $511.96 million in Q3 2023 over the past five years.
- On a year-over-year basis, Non-Current Assets has declined for nine consecutive quarters, with an average decline of 7.5% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 152.5% in Q3 2023, against a decline of 18.9% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $425.08 million (Q1 2026), $433.8 million (Q4 2025) and $438.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Orthofix Medical | 400.78 Mn | 31.81 Mn | 149.71 Mn | 426.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 426.89 Mn |
| Mar 31, 2026 | 425.08 Mn |
| Dec 31, 2025 | 433.80 Mn |
| Sep 30, 2025 | 438.44 Mn |
| Jun 30, 2025 | 441.33 Mn |
| Mar 31, 2025 | 432.83 Mn |
| Dec 31, 2024 | 460.01 Mn |
| Sep 30, 2024 | 481.66 Mn |
| Jun 30, 2024 | 495.93 Mn |
| Mar 31, 2024 | 507.07 Mn |
| Dec 31, 2023 | 504.87 Mn |
| Sep 30, 2023 | 511.96 Mn |
| Jun 30, 2023 | 501.94 Mn |
| Mar 31, 2023 | 507.10 Mn |
| Dec 31, 2022 | 202.64 Mn |
| Sep 30, 2022 | 202.77 Mn |
| Jun 30, 2022 | 206.46 Mn |
| Mar 31, 2022 | 206.89 Mn |
| Dec 31, 2021 | 207.10 Mn |
| Sep 30, 2021 | 240.18 Mn |
Orthofix Medical Non-Current Assets 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=non-current-assets&ticker=OFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();