Snap-on (SNA) Operating Interest Expenses (2009 - 2026)
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 - 2026) 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 | 267.46 Bn | 238.77 Bn | 7.35 Bn | 384.00 Mn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | - |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 400.00 Mn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | - |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | - |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | - |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | - |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | - |
| 10 | Snap-on | 19.26 Bn | 12.59 Bn | 603.60 Mn | 98.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 98.60 Mn |
| Jul 4, 2026 | 99.70 Mn |
| Apr 4, 2026 | 101.10 Mn |
| Dec 31, 2025 | -131.10 Mn |
| Sep 27, 2025 | 101.10 Mn |
| Jun 28, 2025 | 101.70 Mn |
| Mar 29, 2025 | 102.10 Mn |
| Dec 28, 2024 | -124.10 Mn |
| Sep 28, 2024 | -28.70 Mn |
| Jun 29, 2024 | -30.30 Mn |
| Mar 30, 2024 | -31.30 Mn |
| Dec 30, 2023 | -107.60 Mn |
| Sep 30, 2023 | -25.50 Mn |
| Jul 1, 2023 | -26.50 Mn |
| Apr 1, 2023 | -26.30 Mn |
| Dec 31, 2022 | -83.70 Mn |
| Oct 1, 2022 | -20.90 Mn |
| Jul 2, 2022 | -21.10 Mn |
| Apr 2, 2022 | -17.30 Mn |
| Dec 31, 2021 | -77.70 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();