Orthofix Medical (OFIX) Revenue (2010 - 2026)
Orthofix Medical (OFIX) reported Revenue of $210.93 million for Q2 2026, up 3.8% from $203.12 million a year earlier and up 7.2% from the prior quarter.
Orthofix Medical (OFIX) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Orthofix Medical's Revenue came in at $833.19 million, up 3.0% year-over-year; for FY2025, it was $822.31 million, up 2.9% from FY2024.
- Revenue has increased for three consecutive years, with a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- By year, Revenue came in at $799.49 million in FY2024 (+7.1%), $746.64 million in FY2023 (+62.1%), $460.71 million in FY2022 (-0.8%) and $464.48 million in FY2021 (+14.2%).
- Five-year quarterly Revenue spans a low of $106.42 million in Q1 2022 and a high of $219.91 million in Q4 2025.
- Year over year, Revenue has now increased in each of the last 14 quarters, with growth averaging 3.9% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q1 2023 (growth of 64.6%); the low point was Q2 2022 (a decline of 2.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $196.71 million (Q1 2026), $219.91 million (Q4 2025) and $205.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.99 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 12.59 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 6.27 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 2.89 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 9.76 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 6.59 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 5.44 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 4.98 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 1.74 Bn |
| 10 | Orthofix Medical | 400.78 Mn | 31.81 Mn | 149.71 Mn | 210.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 210.93 Mn |
| Mar 31, 2026 | 196.71 Mn |
| Dec 31, 2025 | 219.91 Mn |
| Sep 30, 2025 | 205.63 Mn |
| Jun 30, 2025 | 203.12 Mn |
| Mar 31, 2025 | 193.65 Mn |
| Dec 31, 2024 | 215.66 Mn |
| Sep 30, 2024 | 196.61 Mn |
| Jun 30, 2024 | 198.62 Mn |
| Mar 31, 2024 | 188.61 Mn |
| Dec 31, 2023 | 200.42 Mn |
| Sep 30, 2023 | 184.01 Mn |
| Jun 30, 2023 | 187.02 Mn |
| Mar 31, 2023 | 175.20 Mn |
| Dec 31, 2022 | 122.23 Mn |
| Sep 30, 2022 | 114.00 Mn |
| Jun 30, 2022 | 118.07 Mn |
| Mar 31, 2022 | 106.42 Mn |
| Dec 31, 2021 | 125.06 Mn |
| Sep 30, 2021 | 112.43 Mn |
Orthofix Medical Revenue 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=revenue&ticker=OFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();