Sprouts Farmers Market (SFM) Non Operating Interest Expenses (2012 - 2018)
Sprouts Farmers Market (SFM) reported Non Operating Interest Expenses of $7.41 million for Q4 2018, up 29.3% from $5.73 million a year earlier but down 0.2% from the prior quarter.
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Analysis
Sprouts Farmers Market (SFM) Non Operating Interest Expenses (2012 - 2018) Analysis & Trends
For FY2018, Sprouts Farmers Market posted Non Operating Interest Expenses of $27.44 million, up 29.6% from FY2017.
- Non Operating Interest Expenses has a five-year compound annual growth rate of -5.9% (FY2013 to FY2018).
- By year, Non Operating Interest Expenses came in at $21.18 million in FY2017 (+43.1%), $14.79 million in FY2016 and $25.06 million in FY2014 (-32.6%).
- Five-year quarterly Non Operating Interest Expenses spans a low of $804,000 in Q4 2016 and a high of $7.42 million in Q3 2018.
- Year over year, Non Operating Interest Expenses has now increased in each of the last five quarters, with growth averaging 146.1% over the last five quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2017 (growth of 612.7%); the low point was Q2 2014 (a decline of 42.8%).
- Per Business Quant data, the three quarters before Q4 2018 came in at $7.42 million (Q3 2018), $6.54 million (Q2 2018) and $6.07 million (Q1 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 824.47 Bn | 787.18 Bn | 49.13 Bn | 137.00 Mn |
| 2 | Costco Wholesale | 403.75 Bn | 333.05 Bn | 9.01 Bn | 32.00 Mn |
| 3 | Sysco | 37.36 Bn | 31.61 Bn | 4.13 Bn | - |
| 4 | Kroger | 34.63 Bn | 20.79 Bn | 7.86 Bn | 3.00 Mn |
| 5 | Dollar General | 26.38 Bn | 21.06 Bn | 3.68 Bn | - |
| 6 | Caseys General Stores | 22.49 Bn | 20.48 Bn | 1.24 Bn | 22.06 Mn |
| 7 | Dollar Tree | 21.40 Bn | 18.02 Bn | 2.10 Bn | - |
| 8 | US Foods Holding | 19.94 Bn | 19.74 Bn | 1.92 Bn | 77.00 Mn |
| 9 | Tractor Supply | 16.33 Bn | 15.49 Bn | 1.68 Bn | 17.10 Mn |
| 10 | Sprouts Farmers Market | 6.22 Bn | 5.16 Bn | 900.65 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 30, 2018 | 7.41 Mn |
| Sep 30, 2018 | 7.42 Mn |
| Jul 1, 2018 | 6.54 Mn |
| Apr 1, 2018 | 6.07 Mn |
| Dec 31, 2017 | 5.73 Mn |
| Oct 1, 2017 | 5.61 Mn |
| Jul 2, 2017 | 5.10 Mn |
| Apr 2, 2017 | 4.74 Mn |
| Jan 1, 2017 | 804,000.00 |
| Oct 2, 2016 | 3.72 Mn |
| Jul 3, 2016 | 3.66 Mn |
| Apr 3, 2016 | 3.60 Mn |
| Sep 27, 2015 | 3.69 Mn |
| Jun 28, 2015 | 4.44 Mn |
| Mar 29, 2015 | 5.87 Mn |
| Dec 28, 2014 | 5.92 Mn |
| Sep 28, 2014 | 6.16 Mn |
| Jun 29, 2014 | 6.52 Mn |
| Mar 30, 2014 | 6.47 Mn |
| Dec 29, 2013 | 6.86 Mn |
API Access
Sprouts Farmers Market 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=SFM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SFM", "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=SFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();