Rex American Resources (REX) Non Operating Interest Expenses (2010 - 2015)
Rex American Resources' Non Operating Interest Expenses came in at $337,000 for fiscal Q4 2015 (quarter ended Jan 31, 2015), down 60.8% from $859,000 a year earlier and down 25.8% from the prior quarter.
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Analysis
Rex American Resources (REX) Non Operating Interest Expenses (2010 - 2015) Analysis & Trends
For FY2015 (ended Jan 31, 2015), Rex American Resources' Non Operating Interest Expenses was $2.07 million, down 46.8% from FY2014.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of -15.2% (FY2010 to FY2015).
- Going back by fiscal year, Non Operating Interest Expenses was $3.9 million in FY2014 (-19.3%), $4.83 million in FY2013 (+40.6%), $3.43 million in FY2012 (+17.0%) and $2.94 million in FY2011 (-37.9%).
- The five-year range for quarterly Non Operating Interest Expenses is -$1.17 million (fiscal Q4 2011) to $1.51 million (fiscal Q4 2012).
- Year-over-year, Non Operating Interest Expenses has declined for three consecutive quarters, with an average decline of 32.7% over the last seven quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q3 2013 (growth of 93.1%), and the weakest in fiscal Q4 2015 (a decline of 60.8%).
- Business Quant data shows REX's Non Operating Interest Expenses at $454,000 (Q3 2015), $591,000 (Q2 2015) and -$692,000 (Q1 2015) in the three fiscal quarters before Q4 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Plug Power | 2.64 Bn | 1.73 Bn | -1.68 Mn | 16.89 Mn |
| 2 | Rex American Resources | 1.45 Bn | 95.61 Mn | 53.30 Mn | - |
| 3 | Green Plains | 1.05 Bn | 447.15 Mn | 113.03 Mn | 8.13 Mn |
| 4 | Montauk Renewables | 399.65 Mn | 327.43 Mn | - | 1.53 Mn |
| 5 | Clean Energy Fuels | 345.96 Mn | -309.83 Mn | 30.14 Mn | 5.51 Mn |
| 6 | Gevo | 326.35 Mn | 43.33 Mn | 19.80 Mn | 5.63 Mn |
| 7 | OPAL Fuels | 305.82 Mn | 38.43 Mn | 24.47 Mn | 8.65 Mn |
| 8 | Aemetis | 124.64 Mn | 108.40 Mn | 13.52 Mn | 15.17 Mn |
| 9 | Verde Clean Fuels | 48.56 Mn | -149.91 Mn | - | - |
| 10 | Blue Biofuels | 35.59 Mn | 35.40 Mn | - | 19,689.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2015 | 337,000.00 |
| Oct 31, 2014 | 454,000.00 |
| Jul 31, 2014 | 591,000.00 |
| Apr 30, 2014 | -692,000.00 |
| Jan 31, 2014 | 859,000.00 |
| Oct 31, 2013 | 964,000.00 |
| Jul 31, 2013 | 1.03 Mn |
| Apr 30, 2013 | 1.05 Mn |
| Jan 31, 2013 | 1.13 Mn |
| Oct 31, 2012 | 1.20 Mn |
| Jul 31, 2012 | 1.17 Mn |
| Apr 30, 2012 | 1.28 Mn |
| Jan 31, 2012 | 1.51 Mn |
| Oct 31, 2011 | 620,000.00 |
| Jul 31, 2011 | 638,000.00 |
| Apr 30, 2011 | 663,000.00 |
| Jan 31, 2011 | -1.17 Mn |
| Oct 31, 2010 | 1.37 Mn |
| Jul 31, 2010 | 1.34 Mn |
API Access
Rex American Resources Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=REX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "REX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=REX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();