Honeywell International (HON) Other Accumulated Expenses (2009 - 2018)
Honeywell International's Other Accumulated Expenses came in at $1.09 billion for Q4 2018, down 12.8% from $1.26 billion a year earlier.
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Analysis
Honeywell International (HON) Other Accumulated Expenses (2009 - 2018) Analysis & Trends
Going back to Q4 2009, Honeywell International's Other Accumulated Expenses data covers 10 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 0.5% (FY2013 to FY2018).
- Going back by year, Other Accumulated Expenses was $1.26 billion in FY2017 (+32.4%), $948 million in FY2016 (-0.2%), $950 million in FY2015 (-12.5%) and $1.09 billion in FY2014 (+1.9%).
- The Q4 2018 figure represents the lowest quarterly Other Accumulated Expenses since Q4 2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | General Electric | 321.31 Bn | 275.31 Bn | 4.68 Bn |
| 2 | Rtx | 248.97 Bn | 222.19 Bn | 5.13 Bn |
| 3 | Boeing | 152.99 Bn | 59.70 Bn | 2.41 Bn |
| 4 | Lockheed Martin | 116.67 Bn | 103.39 Bn | 2.45 Bn |
| 5 | Howmet Aerospace | 92.54 Bn | 88.15 Bn | 951.00 Mn |
| 6 | General Dynamics | 89.31 Bn | 76.42 Bn | 2.18 Bn |
| 7 | Motorola Solutions | 74.04 Bn | 70.40 Bn | 1.68 Bn |
| 8 | Northrop Grumman | 67.90 Bn | 57.15 Bn | 2.12 Bn |
| 9 | Honeywell International | 67.82 Bn | 20.27 Bn | 3.65 Bn |
| 10 | TransDigm | 60.25 Bn | 48.34 Bn | 1.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 1.09 Bn |
| Dec 31, 2017 | 1.26 Bn |
| Dec 31, 2016 | 948.00 Mn |
| Dec 31, 2015 | 950.00 Mn |
| Dec 31, 2014 | 1.09 Bn |
| Dec 31, 2013 | 1.07 Bn |
| Dec 31, 2012 | 1.07 Bn |
| Dec 31, 2011 | 1.24 Bn |
| Dec 31, 2010 | 1.19 Bn |
| Dec 31, 2009 | 972.00 Mn |
API Access
Honeywell International Other 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=other-accumulated-expenses&ticker=HON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "HON", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=HON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();