UMeWorld (UMEW) Non Operating Interest Expenses (2011 - 2012)
UMeWorld (UMEW) reported Non Operating Interest Expenses of -$665,875 for FY2018 (year ended Sep 30, 2018), compared with -$389,480 in FY2017.
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Analysis
UMeWorld (UMEW) Non Operating Interest Expenses (2011 - 2012) Analysis & Trends
Dating back to FY2011, UMeWorld's Non Operating Interest Expenses record includes 8 fiscal years.
- The FY2018 figure ranks as the lowest annual Non Operating Interest Expenses in data going back to FY2011.
- According to Business Quant data, Non Operating Interest Expenses came in at -$389,480 in FY2017, -$218,743 in FY2016, -$135,005 in FY2015 and $96,670 in FY2014 (+9.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | - |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | -31.00 Mn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 62.70 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 19.64 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | UMeWorld | 114.79 Mn | 114.39 Mn | 4,542.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2012 | 24,395.00 |
| Sep 30, 2012 | 24,974.00 |
| Jun 30, 2012 | 23,792.00 |
| Dec 31, 2011 | 24,013.00 |
| Sep 30, 2011 | 26,387.00 |
| Jun 30, 2011 | 26,489.00 |
API Access
UMeWorld 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=UMEW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "UMEW", "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=UMEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();