Orthofix Medical (OFIX) Receivables (2010 - 2026)
Orthofix Medical's Receivables came in at $135.82 million for Q2 2026, up 4.8% from $129.56 million a year earlier but down 1.4% from the prior quarter.
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Analysis
Orthofix Medical (OFIX) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Orthofix Medical's Receivables was $135.75 million, up 0.8% from FY2024.
- Receivables has increased in each of the last five years, with a five-year compound annual growth rate of 13.4% (FY2020 to FY2025).
- Going back by year, Receivables was $134.71 million in FY2024 (+5.2%), $128.1 million in FY2023 (+54.6%), $82.86 million in FY2022 (+5.5%) and $78.56 million in FY2021 (+8.5%).
- The five-year range for quarterly Receivables is $68.97 million (Q3 2021) to $137.78 million (Q1 2026).
- Year-over-year, Receivables has increased for 19 consecutive quarters, with growth averaging 4.7% over the last eight quarters.
- The fastest year-over-year change in Receivables over five years came in Q1 2023 (growth of 56.4%), and the weakest in Q3 2021 (a decline of 5.6%).
- Business Quant data shows OFIX's Receivables at $137.78 million (Q1 2026), $135.75 million (Q4 2025) and $130.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Orthofix Medical | 400.78 Mn | 31.81 Mn | 149.71 Mn | 135.82 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.82 Mn |
| Mar 31, 2026 | 137.78 Mn |
| Dec 31, 2025 | 135.75 Mn |
| Sep 30, 2025 | 130.81 Mn |
| Jun 30, 2025 | 129.56 Mn |
| Mar 31, 2025 | 131.87 Mn |
| Dec 31, 2024 | 134.71 Mn |
| Sep 30, 2024 | 124.85 Mn |
| Jun 30, 2024 | 125.36 Mn |
| Mar 31, 2024 | 125.62 Mn |
| Dec 31, 2023 | 128.10 Mn |
| Sep 30, 2023 | 114.12 Mn |
| Jun 30, 2023 | 112.32 Mn |
| Mar 31, 2023 | 113.31 Mn |
| Dec 31, 2022 | 82.86 Mn |
| Sep 30, 2022 | 75.63 Mn |
| Jun 30, 2022 | 77.07 Mn |
| Mar 31, 2022 | 72.47 Mn |
| Dec 31, 2021 | 78.56 Mn |
| Sep 30, 2021 | 68.97 Mn |
API Access
Orthofix Medical Receivables 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=receivables&ticker=OFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();