Snap-on (SNA) Accumulated Expenses (2009 - 2026)
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 (2009 - 2026) 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 -1.3% (FY2015 to FY2019).
- Five-year annual Accumulated Expenses spans a low of $52 million in FY2018 and a high of $56.2 million in FY2015.
- According to Business Quant data, Accumulated Expenses came in at $52 million in FY2018 (-6.8%), $55.8 million in FY2017 (+0.4%), $55.6 million in FY2016 (-1.1%) and $56.2 million in FY2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn |
| 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 52.50 Mn |
| Jul 4, 2026 | 53.20 Mn |
| Apr 4, 2026 | 69.70 Mn |
| Dec 31, 2025 | 64.70 Mn |
| Sep 27, 2025 | 62.10 Mn |
| Jun 28, 2025 | 54.70 Mn |
| Mar 29, 2025 | 72.90 Mn |
| Dec 28, 2024 | 67.20 Mn |
| Sep 28, 2024 | 59.40 Mn |
| Jun 29, 2024 | 54.40 Mn |
| Mar 30, 2024 | 70.50 Mn |
| Dec 30, 2023 | 64.40 Mn |
| Sep 30, 2023 | 57.50 Mn |
| Jul 1, 2023 | 54.30 Mn |
| Apr 1, 2023 | 65.30 Mn |
| Dec 31, 2022 | 58.60 Mn |
| Oct 1, 2022 | 60.50 Mn |
| Jul 2, 2022 | 59.20 Mn |
| Apr 2, 2022 | 73.10 Mn |
| Dec 31, 2021 | 67.40 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();