Orthofix Medical (OFIX) Return on Sales [ROS] (2010 - 2026)
Orthofix Medical's Return on Sales [ROS] was -3.86% in Q2 2026, up 4.02 percentage points from -7.88% a year earlier and up 3.48 percentage points from the prior quarter.
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Analysis
Orthofix Medical (OFIX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Orthofix Medical's Return on Sales [ROS] was -4.70% through Jun 30, 2026, up 7.08 percentage points year-over-year; for FY2025, it came in at -9.90%, up 0.68 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -8.36 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -10.58% in FY2024 (+8.05 pp), -18.63% in FY2023 (-15.75 pp), -2.88% in FY2022 (-1.09 pp) and -1.79% in FY2021 (-0.25 pp).
- Quarterly Return on Sales [ROS] has moved between -34.08% (Q1 2023) and 5.62% (Q2 2022) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for five straight quarters, with an average year-over-year change of +3.91 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 18.53 percentage points); the worst was Q1 2023 (a drop of 31.19 percentage points).
- Per Business Quant data, OFIX's Return on Sales [ROS] in the three quarters before Q2 2026 was -7.34% (Q1 2026), 0.22% (Q4 2025) and -8.29% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Orthofix Medical | 370.24 Mn | 1.26 Mn | 149.71 Mn | -3.86% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.86% |
| Mar 31, 2026 | -7.34% |
| Dec 31, 2025 | 0.22% |
| Sep 30, 2025 | -8.29% |
| Jun 30, 2025 | -7.88% |
| Mar 31, 2025 | -25.24% |
| Dec 31, 2024 | -5.32% |
| Sep 30, 2024 | -9.61% |
| Jun 30, 2024 | -12.54% |
| Mar 31, 2024 | -15.55% |
| Dec 31, 2023 | -9.14% |
| Sep 30, 2023 | -13.29% |
| Jun 30, 2023 | -19.59% |
| Mar 31, 2023 | -34.08% |
| Dec 31, 2022 | -9.04% |
| Sep 30, 2022 | -5.08% |
| Jun 30, 2022 | 5.62% |
| Mar 31, 2022 | -2.89% |
| Dec 31, 2021 | -7.48% |
| Sep 30, 2021 | -0.28% |
API Access
Orthofix Medical Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=OFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();