Abbott Laboratories (ABT) Divestments (2015 - 2021)
Abbott Laboratories (ABT) posted Divestments of $1 million for FY2024, down 97.5% from $40 million in FY2023.
Analysis
Abbott Laboratories (ABT) Divestments (2015 - 2021) Analysis & Trends
Since FY2014, Abbott Laboratories has reported Divestments for 11 years.
- Annual Divestments has declined for three consecutive years, with a five-year compound annual growth rate of -53.9% (FY2019 to FY2024).
- The FY2024 figure stands as the lowest annual Divestments in data going back to FY2014.
- Business Quant data shows ABT's Divestments at $40 million in FY2023 (-16.7%), $48 million in FY2022 (-64.2%), $134 million in FY2021 (+131.0%) and $58 million in FY2020 (+20.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.93 Bn | 230.96 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 181.29 Bn | 151.72 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.18 Bn | 141.99 Bn | 3.61 Bn | - |
| 4 | Intuitive Surgical | 153.47 Bn | 132.89 Bn | 1.96 Bn | - |
| 5 | Medtronic | 118.97 Bn | 84.22 Bn | 6.34 Bn | - |
| 6 | Stryker | 114.72 Bn | 100.84 Bn | 4.50 Bn | - |
| 7 | Boston Scientific | 66.18 Bn | 60.95 Bn | 3.85 Bn | - |
| 8 | Becton Dickinson | 52.49 Bn | 49.64 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.32 Bn | 34.33 Bn | 1.35 Bn | - |
| 10 | Agilent Technologies | 47.87 Bn | 40.76 Bn | 1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 86.00 Mn |
| Dec 31, 2020 | 10.00 Mn |
| Dec 31, 2017 | 600.00 Mn |
| Sep 30, 2017 | -29.00 Mn |
| Jun 30, 2017 | -1.00 Mn |
| Mar 31, 2017 | 5.47 Bn |
| Mar 31, 2016 | 25.00 Mn |
| Dec 31, 2015 | -2.29 Bn |
| Jun 30, 2015 | 2.29 Bn |
| Mar 31, 2015 | 230.00 Mn |
API Access
Abbott Laboratories Divestments 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=divestments&ticker=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();