Mosaic (MOS) Interest Expenses (2009 - 2011)
Mosaic (MOS) posted Interest Expenses of $140.6 million for FY2016, up 5.2% from $133.6 million in FY2015.
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Analysis
Mosaic (MOS) Interest Expenses (2009 - 2011) Analysis & Trends
Since FY2009, Mosaic has reported Interest Expenses for 7 years.
- Annual Interest Expenses shows a five-year compound annual growth rate of 38.5% (FY2011 to FY2016).
- The FY2016 figure stands as the highest annual Interest Expenses in data going back to FY2009.
- Business Quant data shows MOS's Interest Expenses at $133.6 million in FY2015 (+3.6%), $128.9 million in FY2014 and $1.4 million in FY2012 (-94.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 218.21 Bn | 201.33 Bn | 4.43 Bn | 61.00 Mn |
| 2 | Corning | 136.71 Bn | 129.84 Bn | 1.63 Bn | 94.00 Mn |
| 3 | Sherwin Williams | 80.23 Bn | 79.27 Bn | 3.34 Bn | 135.90 Mn |
| 4 | Air Products & Chemicals | 62.17 Bn | 60.07 Bn | 1.04 Bn | 49.40 Mn |
| 5 | Corteva | 51.95 Bn | 40.75 Bn | 3.66 Bn | 47.00 Mn |
| 6 | LyondellBasell Industries | 37.59 Bn | 27.21 Bn | 2.04 Bn | 138.00 Mn |
| 7 | Nutrien | 34.30 Bn | 31.17 Bn | 3.25 Bn | 173.00 Mn |
| 8 | Qnity Electronics | 26.28 Bn | 23.71 Bn | 666.00 Mn | 61.00 Mn |
| 9 | Ati | 25.72 Bn | 23.87 Bn | 309.80 Mn | - |
| 10 | Mosaic | 7.13 Bn | 6.29 Bn | 214.70 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2011 | 14.80 Mn |
| Feb 28, 2011 | 200,000.00 |
| Nov 30, 2010 | 5.60 Mn |
| Aug 31, 2010 | 7.00 Mn |
| May 31, 2010 | 28.90 Mn |
| Feb 28, 2010 | 10.00 Mn |
| Nov 30, 2009 | 11.90 Mn |
| Aug 31, 2009 | 14.90 Mn |
API Access
Mosaic 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=interest-expenses&ticker=MOS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "MOS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=MOS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();