Orthofix Medical (OFIX) Restructuring Costs (2023 - 2024)
Orthofix Medical's Restructuring Costs was $1.32 million in Q4 2024, up 30.7% from $1.01 million a year earlier and up 160.4% from the prior quarter.
Orthofix Medical (OFIX) Restructuring Costs (2023 - 2024) Analysis & Trends
For FY2024, Restructuring Costs at Orthofix Medical came in at $9.38 million, up 697.3% from FY2023.
- Restructuring Costs shows a three-year compound annual growth rate of 133.2% (FY2021 to FY2024).
- In earlier years, Restructuring Costs was $1.18 million in FY2023 (+700.0%), $147,000 in FY2022 (-80.1%) and $739,000 in FY2021.
- Quarterly Restructuring Costs has moved between -$92,000 (Q3 2023) and $18.2 million (Q1 2023) over five years.
- Per Business Quant data, OFIX's Restructuring Costs in the three quarters before Q4 2024 was $505,000 (Q3 2024), $5.35 million (Q2 2024) and $2.21 million (Q1 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn |
| 10 | Orthofix Medical | 400.78 Mn | 31.81 Mn | 149.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 1.32 Mn |
| Sep 30, 2024 | 505,000.00 |
| Jun 30, 2024 | 5.35 Mn |
| Mar 31, 2024 | 2.21 Mn |
| Dec 31, 2023 | 1.01 Mn |
| Sep 30, 2023 | -92,000.00 |
| Jun 30, 2023 | 262,000.00 |
| Mar 31, 2023 | 18.20 Mn |
Orthofix Medical Restructuring Costs 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=restructuring-costs&ticker=OFIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();