Abbott Laboratories (ABT) Change in Receivables (2009 - 2026)
Abbott Laboratories (ABT) posted Change in Receivables of $386 million for Q2 2026, down 5.9% from $410 million a year earlier but up 819.0% from the prior quarter.
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Analysis
Abbott Laboratories (ABT) Change in Receivables (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Receivables at Abbott Laboratories was $408 million, down 54.0% year-over-year; for FY2025, it came in at $652 million, down 5.6% from FY2024.
- Annual Change in Receivables shows a five-year compound annual growth rate of -6.7% (FY2020 to FY2025).
- In prior years, Abbott Laboratories' Change in Receivables was $691 million in FY2024 (+94.1%), $356 million in FY2023 (+423.5%), $68 million in FY2022 (-82.2%) and $383 million in FY2021 (-58.5%).
- Quarterly Change in Receivables has run from a low of -$530 million in Q3 2022 to a high of $751 million in Q1 2022 over five years.
- On a year-over-year basis, Change in Receivables increased in three of the last six quarters, with growth averaging 29.4%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was Q3 2025, with growth of 254.4%; the weakest was Q3 2024, with a decline of 87.6%.
- According to Business Quant data, Change in Receivables for the three prior quarters was $42 million (Q1 2026), -$222 million (Q4 2025) and $202 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 386.00 Mn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | -71.00 Mn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 74.90 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | -224.00 Mn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 177.00 Mn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 46.00 Mn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | - |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 10.20 Mn |
| 10 | Agilent Technologies | 49.40 Bn | 42.29 Bn | 1.04 Bn | -22.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 386.00 Mn |
| Mar 31, 2026 | 42.00 Mn |
| Dec 31, 2025 | -222.00 Mn |
| Sep 30, 2025 | 202.00 Mn |
| Jun 30, 2025 | 410.00 Mn |
| Mar 31, 2025 | 262.00 Mn |
| Dec 31, 2024 | 158.00 Mn |
| Sep 30, 2024 | 57.00 Mn |
| Jun 30, 2024 | 325.00 Mn |
| Mar 31, 2024 | 151.00 Mn |
| Dec 31, 2023 | -68.00 Mn |
| Sep 30, 2023 | 461.00 Mn |
| Jun 30, 2023 | 196.00 Mn |
| Mar 31, 2023 | -233.00 Mn |
| Dec 31, 2022 | -341.00 Mn |
| Sep 30, 2022 | -530.00 Mn |
| Jun 30, 2022 | 188.00 Mn |
| Mar 31, 2022 | 751.00 Mn |
| Dec 31, 2021 | 189.00 Mn |
| Sep 30, 2021 | 394.00 Mn |
API Access
Abbott Laboratories Change in Receivables 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=change-in-receivables&ticker=ABT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();