Snap-on (SNA) Operating Interest Expenses (2009 - 2018)
Snap-on (SNA) posted Operating Interest Expenses of $24.2 million for Q2 2018, up 4.8% from $23.1 million a year earlier but down 7.3% from the prior quarter.
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Analysis
Snap-on (SNA) Operating Interest Expenses (2009 - 2018) Analysis & Trends
For the trailing twelve months through Jun 30, 2018, Operating Interest Expenses at Snap-on was $98.8 million, up 8.6% year-over-year; for FY2017, it was $95.9 million, up 16.0% from FY2016.
- Annual Operating Interest Expenses shows a five-year compound annual growth rate of 11.9% (FY2012 to FY2017).
- In prior years, Snap-on's Operating Interest Expenses was $82.7 million in FY2016 (+18.0%), $70.1 million in FY2015 and $55.3 million in FY2013 (+1.3%).
- Quarterly Operating Interest Expenses has run from a low of $13.5 million in Q3 2013 to a high of $26.1 million in Q1 2018 over five years.
- On a year-over-year basis, Operating Interest Expenses has increased in each of the last seven quarters, with growth averaging 14.6% over the last seven quarters.
- The year-over-year growth in Operating Interest Expenses has ranged between 4.8% (Q2 2018) and 25.9% (Q1 2017) over the last five years.
- According to Business Quant data, Operating Interest Expenses for the three prior quarters was $26.1 million (Q1 2018), $25.5 million (Q4 2017) and $23 million (Q3 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 362.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | - |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | - |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | - |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Snap-on | 18.80 Bn | 12.27 Bn | 635.20 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 24.20 Mn |
| Mar 31, 2018 | 26.10 Mn |
| Dec 30, 2017 | 25.50 Mn |
| Sep 30, 2017 | 23.00 Mn |
| Jul 1, 2017 | 23.10 Mn |
| Apr 1, 2017 | 24.30 Mn |
| Dec 31, 2016 | 22.60 Mn |
| Oct 1, 2016 | 21.00 Mn |
| Jul 2, 2016 | 19.80 Mn |
| Apr 2, 2016 | 19.30 Mn |
| Jan 2, 2016 | 18.10 Mn |
| Oct 3, 2015 | 17.60 Mn |
| Jul 4, 2015 | 17.30 Mn |
| Apr 4, 2015 | 17.10 Mn |
| Jan 3, 2015 | 17.20 Mn |
| Sep 27, 2014 | 15.90 Mn |
| Jun 28, 2014 | 16.90 Mn |
| Mar 29, 2014 | 15.80 Mn |
| Dec 28, 2013 | 14.40 Mn |
| Sep 28, 2013 | 13.50 Mn |
API Access
Snap-on 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=operating-interest-expenses&ticker=SNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "ticker": "SNA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-interest-expenses&ticker=SNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();