Abbott Laboratories (ABT) Non-Current Assets (2009 - 2026)
Abbott Laboratories (ABT) recorded Non-Current Assets of $84.7 billion in Q2 2026, up 42.3% from $59.53 billion a year earlier but down 0.3% from the prior quarter.
Abbott Laboratories (ABT) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Abbott Laboratories reported Non-Current Assets of $60.72 billion, up 5.1% from FY2024.
- Annual Non-Current Assets has increased for three straight years, with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $57.76 billion in FY2024 (+14.3%), $50.54 billion in FY2023 (+2.7%), $49.21 billion in FY2022 (-3.4%) and $50.96 billion in FY2021 (-2.2%).
- Quarterly Non-Current Assets has ranged from $47.96 billion in Q3 2022 to $84.92 billion in Q1 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for 13 consecutive quarters, with growth averaging 20.3% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 45.7% in Q1 2026, against a decline of 4.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $84.92 billion (Q1 2026), $60.72 billion (Q4 2025) and $59.34 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | 9.27 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84.70 Bn |
| Mar 31, 2026 | 84.92 Bn |
| Dec 31, 2025 | 60.72 Bn |
| Sep 30, 2025 | 59.34 Bn |
| Jun 30, 2025 | 59.53 Bn |
| Mar 31, 2025 | 58.30 Bn |
| Dec 31, 2024 | 57.76 Bn |
| Sep 30, 2024 | 50.55 Bn |
| Jun 30, 2024 | 49.90 Bn |
| Mar 31, 2024 | 50.09 Bn |
| Dec 31, 2023 | 50.54 Bn |
| Sep 30, 2023 | 49.43 Bn |
| Jun 30, 2023 | 49.85 Bn |
| Mar 31, 2023 | 49.42 Bn |
| Dec 31, 2022 | 49.21 Bn |
| Sep 30, 2022 | 47.96 Bn |
| Jun 30, 2022 | 49.25 Bn |
| Mar 31, 2022 | 50.58 Bn |
| Dec 31, 2021 | 50.96 Bn |
| Sep 30, 2021 | 50.30 Bn |
Abbott Laboratories Non-Current Assets 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=non-current-assets&ticker=ABT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();