Orthofix Medical (OFIX) Cash & Equivalents (2009 - 2026)
Orthofix Medical (OFIX) reported Cash & Equivalents of $103.81 million for Q2 2026, up 58.2% from $65.61 million a year earlier but down 13.7% from the prior quarter.
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Analysis
Orthofix Medical (OFIX) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Orthofix Medical posted Cash & Equivalents of $82.03 million, down 1.5% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $83.24 million in FY2024 (+151.4%), $33.11 million in FY2023 (-34.7%), $50.7 million in FY2022 (-42.3%) and $87.85 million in FY2021 (-8.8%).
- Five-year quarterly Cash & Equivalents spans a low of $26.37 million in Q2 2024 and a high of $120.28 million in Q1 2026.
- Year over year, Cash & Equivalents gained in six of the last eight quarters, with growth averaging 84.7%.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2024 (growth of 151.4%); the low point was Q1 2024 (a decline of 46.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $120.28 million (Q1 2026), $82.03 million (Q4 2025) and $62.86 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 5.46 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 4.05 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 5.68 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.98 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 3.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 609.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 3.11 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 2.32 Bn |
| 10 | Orthofix Medical | 290.21 Mn | -102.23 Mn | 146.55 Mn | 86.32 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 86.32 Mn |
| Jun 30, 2026 | 103.81 Mn |
| Mar 31, 2026 | 120.28 Mn |
| Dec 31, 2025 | 82.03 Mn |
| Sep 30, 2025 | 62.86 Mn |
| Jun 30, 2025 | 65.61 Mn |
| Mar 31, 2025 | 57.95 Mn |
| Dec 31, 2024 | 83.24 Mn |
| Sep 30, 2024 | 30.05 Mn |
| Jun 30, 2024 | 26.37 Mn |
| Mar 31, 2024 | 26.96 Mn |
| Dec 31, 2023 | 33.11 Mn |
| Sep 30, 2023 | 33.66 Mn |
| Jun 30, 2023 | 37.61 Mn |
| Mar 31, 2023 | 49.97 Mn |
| Dec 31, 2022 | 50.70 Mn |
| Sep 30, 2022 | 51.66 Mn |
| Jun 30, 2022 | 59.54 Mn |
| Mar 31, 2022 | 71.92 Mn |
| Dec 31, 2021 | 87.85 Mn |
API Access
Orthofix Medical Cash & Equivalents 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=cash-and-equivalents&ticker=OFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();