Snap-on (SNA) Accumulated Expenses (2010 - 2020)
Snap-on (SNA) reported Accumulated Expenses of $53.3 million for FY2019, up 2.5% from $52 million in FY2018.
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Analysis
Snap-on (SNA) Accumulated Expenses (2010 - 2020) Analysis & Trends
Dating back to FY2010, Snap-on's Accumulated Expenses record includes 9 years.
- Accumulated Expenses has a four-year compound annual growth rate of 0.6% (FY2015 to FY2019).
- Five-year annual Accumulated Expenses spans a low of $52 million in FY2018 and a high of $55.8 million in FY2017.
- According to Business Quant data, Accumulated Expenses came in at $52 million in FY2018 (-6.8%), $55.8 million in FY2017 (+5.7%), $52.8 million in FY2016 (+1.3%) and $52.1 million in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 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 |
|---|---|
| Mar 28, 2020 | 55.00 Mn |
| Dec 28, 2019 | 53.30 Mn |
| Sep 28, 2019 | 46.80 Mn |
| Jun 29, 2019 | 42.40 Mn |
| Mar 30, 2019 | 53.80 Mn |
| Dec 29, 2018 | 52.00 Mn |
| Sep 29, 2018 | 49.80 Mn |
| Jun 30, 2018 | 44.60 Mn |
| Mar 31, 2018 | 53.80 Mn |
| Dec 30, 2017 | 55.80 Mn |
| Sep 30, 2017 | 47.80 Mn |
| Jul 1, 2017 | 43.70 Mn |
| Apr 1, 2017 | 52.50 Mn |
| Dec 31, 2016 | 52.80 Mn |
| Oct 1, 2016 | 49.70 Mn |
| Jul 2, 2016 | 44.90 Mn |
| Apr 2, 2016 | 54.00 Mn |
| Jan 2, 2016 | 52.10 Mn |
| Oct 3, 2015 | 48.70 Mn |
| Jul 4, 2015 | 45.10 Mn |
API Access
Snap-on Accumulated 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=accumulated-expenses&ticker=SNA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=SNA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();