Orthofix Medical (OFIX) Cost of Revenue (2010 - 2026)
Orthofix Medical (OFIX) recorded Cost of Revenue of $61.23 million in Q2 2026, down 3.7% from $63.59 million a year earlier but up 7.1% from the prior quarter.
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Analysis
Orthofix Medical (OFIX) Cost of Revenue (2010 - 2026) Analysis & Trends
On a TTM basis, Orthofix Medical's Cost of Revenue came in at $239.07 million as of Jun 30, 2026, down 9.4% year-over-year; for FY2025, it was $256.3 million, up 1.1% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $253.61 million in FY2024 (-2.6%), $260.37 million in FY2023 (+110.7%), $123.54 million in FY2022 (+7.5%) and $114.91 million in FY2021 (+12.8%).
- Quarterly Cost of Revenue has ranged from $28.31 million in Q3 2021 to $72.03 million in Q1 2025 over the past five years.
- On a year-over-year basis, Cost of Revenue has declined for five consecutive quarters, with an average decline of 2.4% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 129.1% in Q1 2023, against a decline of 20.6% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $57.16 million (Q1 2026), $63.57 million (Q4 2025) and $57.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Orthofix Medical | 370.24 Mn | 1.26 Mn | 149.71 Mn | 61.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 61.23 Mn |
| Mar 31, 2026 | 57.16 Mn |
| Dec 31, 2025 | 63.57 Mn |
| Sep 30, 2025 | 57.11 Mn |
| Jun 30, 2025 | 63.59 Mn |
| Mar 31, 2025 | 72.03 Mn |
| Dec 31, 2024 | 66.82 Mn |
| Sep 30, 2024 | 61.55 Mn |
| Jun 30, 2024 | 63.87 Mn |
| Mar 31, 2024 | 61.37 Mn |
| Dec 31, 2023 | 63.79 Mn |
| Sep 30, 2023 | 64.24 Mn |
| Jun 30, 2023 | 67.47 Mn |
| Mar 31, 2023 | 64.88 Mn |
| Dec 31, 2022 | 33.05 Mn |
| Sep 30, 2022 | 30.57 Mn |
| Jun 30, 2022 | 31.60 Mn |
| Mar 31, 2022 | 28.32 Mn |
| Dec 31, 2021 | 33.25 Mn |
| Sep 30, 2021 | 28.31 Mn |
API Access
Orthofix Medical Cost of 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=cost-of-revenue&ticker=OFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();