Abbott Laboratories (ABT) Other non-cash items (2011 - 2019)
Abbott Laboratories (ABT) posted Other non-cash items of $63 million for FY2019, down 68.3% from $199 million in FY2018.
Analysis
Abbott Laboratories (ABT) Other non-cash items (2011 - 2019) Analysis & Trends
Since FY2009, Abbott Laboratories has reported Other non-cash items for 9 years.
- Annual Other non-cash items shows a five-year compound annual growth rate of 28.5% (FY2014 to FY2019).
- The FY2019 figure stands as the lowest annual Other non-cash items since FY2014.
- Business Quant data shows ABT's Other non-cash items at $199 million in FY2018 (-78.1%), $907 million in FY2017 (+89.0%) and $480 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 260.72 Bn | 237.23 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 201.46 Bn | 171.89 Bn | 7.27 Bn |
| 3 | Intuitive Surgical | 168.86 Bn | 149.15 Bn | 2.08 Bn |
| 4 | Danaher | 165.27 Bn | 144.92 Bn | 3.84 Bn |
| 5 | Medtronic | 134.67 Bn | 99.92 Bn | 6.34 Bn |
| 6 | Stryker | 130.89 Bn | 117.08 Bn | 4.25 Bn |
| 7 | Boston Scientific | 66.33 Bn | 61.76 Bn | 3.43 Bn |
| 8 | Becton Dickinson | 57.37 Bn | 54.52 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 57.28 Bn | 41.29 Bn | 1.35 Bn |
| 10 | Agilent Technologies | 49.88 Bn | 42.76 Bn | 1.04 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 102.00 Mn |
| Dec 31, 2018 | 167.00 Mn |
| Mar 31, 2018 | 32.00 Mn |
| Dec 31, 2017 | 67.00 Mn |
| Sep 30, 2017 | 18.00 Mn |
| Jun 30, 2017 | 430.00 Mn |
| Mar 31, 2017 | 392.00 Mn |
| Dec 31, 2016 | -1.00 Mn |
| Sep 30, 2016 | 4.00 Mn |
| Mar 31, 2016 | 477.00 Mn |
| Dec 31, 2012 | 1.38 Bn |
| Jun 30, 2012 | 110.00 Mn |
| Mar 31, 2012 | 150.00 Mn |
| Dec 31, 2011 | 399.50 Mn |
| Jun 30, 2011 | 172.50 Mn |
| Mar 31, 2011 | 100.00 Mn |
API Access
Abbott Laboratories Other non-cash items 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-non-cash-items&ticker=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "ticker": "ABT", "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-non-cash-items&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();