Spar (SGRP) Non Operating Interest Expenses (2010 - 2016)
Spar (SGRP) posted Non Operating Interest Expenses of $22,000 for Q4 2016, down 18.5% from $27,000 a year earlier and down 56.9% from the prior quarter.
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Analysis
Spar (SGRP) Non Operating Interest Expenses (2010 - 2016) Analysis & Trends
For FY2016, Spar's Non Operating Interest Expenses came in at $133,000, down 37.9% from FY2015.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of -7.6% (FY2011 to FY2016).
- In prior years, Spar's Non Operating Interest Expenses was $214,000 in FY2015 (+35.4%), $158,000 in FY2014 (-7.6%), $171,000 in FY2013 (+34.6%) and $127,000 in FY2012 (-35.5%).
- The Q4 2016 figure stands as the lowest quarterly Non Operating Interest Expenses since Q2 2013.
- On a year-over-year basis, Non Operating Interest Expenses increased in four of the last eight quarters, with growth averaging 1.0%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q4 2013, with growth of 193.5%; the weakest was Q4 2014, with a decline of 67.0%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $51,000 (Q3 2016), $31,000 (Q2 2016) and $28,000 (Q1 2016).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 70.65 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 25.84 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | - |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 36.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 9.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | - |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 5.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 22.27 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Spar | 19.31 Mn | 586,021.00 | 8.41 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 22,000.00 |
| Sep 30, 2016 | 51,000.00 |
| Jun 30, 2016 | 31,000.00 |
| Mar 31, 2016 | 28,000.00 |
| Dec 31, 2015 | 27,000.00 |
| Sep 30, 2015 | 47,000.00 |
| Jun 30, 2015 | 82,000.00 |
| Mar 31, 2015 | 58,000.00 |
| Dec 31, 2014 | 30,000.00 |
| Sep 30, 2014 | 44,000.00 |
| Jun 30, 2014 | 41,000.00 |
| Mar 31, 2014 | 43,000.00 |
| Dec 31, 2013 | 91,000.00 |
| Sep 30, 2013 | 28,000.00 |
| Jun 30, 2013 | 20,000.00 |
| Mar 31, 2013 | 31,000.00 |
| Dec 31, 2012 | 31,000.00 |
| Sep 30, 2012 | 32,000.00 |
| Jun 30, 2012 | 12,000.00 |
| Mar 31, 2012 | 51,000.00 |
API Access
Spar 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=SGRP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SGRP", "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=SGRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();