Orthofix Medical (OFIX) Notes Payables (2010 - 2012)
Orthofix Medical (OFIX) recorded Notes Payables of $16,000 in Q4 2012, down 98.8% from $1.32 million a year earlier and down 94.3% from the prior quarter.
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Analysis
Orthofix Medical (OFIX) Notes Payables (2010 - 2012) Analysis & Trends
Starting with Q4 2010, Orthofix Medical's Notes Payables history includes 8 quarters.
- Across earlier years, Notes Payables came in at $1.32 million in FY2011 (-65.4%) and $3.81 million in FY2010.
- The Q4 2012 figure is the lowest quarterly Notes Payables in data going back to Q4 2010.
- On a year-over-year basis, Notes Payables has declined for three consecutive quarters, with an average decline of 80.3% over the last four quarters.
- Per Business Quant, the preceding three quarters came in at $282,000 (Q3 2012), $499,000 (Q2 2012) and $1.42 million (Q1 2012).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.30 Bn | 239.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 170.90 Bn | 141.33 Bn | 7.27 Bn |
| 3 | Danaher | 164.81 Bn | 148.62 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 152.46 Bn | 131.89 Bn | 1.96 Bn |
| 5 | Medtronic | 119.28 Bn | 84.53 Bn | 6.34 Bn |
| 6 | Stryker | 112.91 Bn | 99.03 Bn | 4.50 Bn |
| 7 | Boston Scientific | 64.87 Bn | 59.63 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 53.24 Bn | 50.39 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 50.42 Bn | 34.43 Bn | 1.35 Bn |
| 10 | Orthofix Medical | 401.29 Mn | 32.31 Mn | 149.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | 16,000.00 |
| Sep 30, 2012 | 282,000.00 |
| Jun 30, 2012 | 499,000.00 |
| Mar 31, 2012 | 1.42 Mn |
| Dec 31, 2011 | 1.32 Mn |
| Sep 30, 2011 | 1.28 Mn |
| Jun 30, 2011 | 2.39 Mn |
| Dec 31, 2010 | 3.81 Mn |
API Access
Orthofix Medical Notes Payables 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=notes-payables&ticker=OFIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=OFIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();