Abbott Laboratories (ABT) Shares Outstanding (2009 - 2026)
Abbott Laboratories (ABT) posted Weighted Average Shares Outstanding of 1.74 billion for Q3 2026, down 0.1% from 1.74 billion a year earlier and unchanged from the prior quarter.
Abbott Laboratories (ABT) Shares Outstanding (2009 - 2026) Analysis & Trends
Since Q2 2009, Abbott Laboratories has reported Weighted Average Shares Outstanding for 70 quarters.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- In prior years, Abbott Laboratories' Weighted Average Shares Outstanding was 1.74 billion in FY2024 (unchanged), 1.74 billion in FY2023 (-0.7%), 1.75 billion in FY2022 (-1.2%) and 1.78 billion in FY2021 (+0.1%).
- Quarterly Weighted Average Shares Outstanding has run from a low of 1.74 billion in Q3 2023 to a high of 1.78 billion in Q4 2021 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding increased in three of the last eight quarters, with an average year-over-year change of 0.0%.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q1 2026, with growth of 0.2%; the weakest was Q2 2022, with a decline of 1.4%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 1.74 billion (Q2 2026), 1.74 billion (Q1 2026) and 1.74 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 370.00 Mn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 1.73 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 703.80 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 349.00 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 1.28 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 382.20 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.45 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 576.30 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 876.47 Mn |
| 10 | Agilent Technologies | 50.15 Bn | 43.04 Bn | 1.04 Bn | 282.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.73 Bn |
| Jun 30, 2026 | 1.74 Bn |
| Mar 31, 2026 | 1.74 Bn |
| Dec 31, 2025 | 1.74 Bn |
| Sep 30, 2025 | 1.74 Bn |
| Jun 30, 2025 | 1.74 Bn |
| Mar 31, 2025 | 1.74 Bn |
| Dec 31, 2024 | 1.74 Bn |
| Sep 30, 2024 | 1.74 Bn |
| Jun 30, 2024 | 1.74 Bn |
| Mar 31, 2024 | 1.74 Bn |
| Dec 31, 2023 | 1.74 Bn |
| Sep 30, 2023 | 1.74 Bn |
| Jun 30, 2023 | 1.74 Bn |
| Mar 31, 2023 | 1.74 Bn |
| Dec 31, 2022 | 1.75 Bn |
| Sep 30, 2022 | 1.75 Bn |
| Jun 30, 2022 | 1.75 Bn |
| Mar 31, 2022 | 1.76 Bn |
| Dec 31, 2021 | 1.78 Bn |
Abbott Laboratories Shares Outstanding 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=shares-outstanding&ticker=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();