Orthofix Medical (OFIX) Capital Expenditures (2010 - 2026)
Orthofix Medical (OFIX) reported Capital Expenditures of $12.65 million for Q2 2026, up 77.9% from $7.11 million a year earlier and up 18.6% from the prior quarter.
Orthofix Medical (OFIX) Capital Expenditures (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Orthofix Medical's Capital Expenditures came in at $44.09 million, up 56.4% year-over-year; for FY2025, it came in at $34.63 million, down 0.7% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $34.88 million in FY2024 (-43.8%), $62.05 million in FY2023 (+167.9%), $23.16 million in FY2022 (+30.2%) and $17.79 million in FY2021 (+14.9%).
- The Q2 2026 figure ranks as the highest quarterly Capital Expenditures since Q4 2023.
- Year over year, Capital Expenditures has now increased in each of the last four quarters, with growth averaging 6.0% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q3 2023 (growth of 326.6%); the low point was Q3 2024 (a decline of 73.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $10.66 million (Q1 2026), $10.88 million (Q4 2025) and $9.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 143.00 Mn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 66.90 Mn |
| 10 | Orthofix Medical | 400.78 Mn | 31.81 Mn | 149.71 Mn | 12.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.65 Mn |
| Mar 31, 2026 | 10.66 Mn |
| Dec 31, 2025 | 10.88 Mn |
| Sep 30, 2025 | 9.90 Mn |
| Jun 30, 2025 | 7.11 Mn |
| Mar 31, 2025 | 6.74 Mn |
| Dec 31, 2024 | 8.53 Mn |
| Sep 30, 2024 | 5.81 Mn |
| Jun 30, 2024 | 9.72 Mn |
| Mar 31, 2024 | 10.82 Mn |
| Dec 31, 2023 | 16.36 Mn |
| Sep 30, 2023 | 21.87 Mn |
| Jun 30, 2023 | 12.35 Mn |
| Mar 31, 2023 | 11.47 Mn |
| Dec 31, 2022 | 7.00 Mn |
| Sep 30, 2022 | 5.13 Mn |
| Jun 30, 2022 | 5.70 Mn |
| Mar 31, 2022 | 5.33 Mn |
| Dec 31, 2021 | 6.23 Mn |
| Sep 30, 2021 | 2.53 Mn |
Orthofix Medical Capital Expenditures 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=capital-expenditures&ticker=OFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();