Abbott Laboratories (ABT) Cost of Revenue (2009 - 2026)
Abbott Laboratories (ABT) recorded Cost of Revenue of $5.63 billion in Q3 2026, up 10.9% from $5.08 billion a year earlier and up 5.7% from the prior quarter.
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Analysis
Abbott Laboratories (ABT) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Abbott Laboratories' Cost of Revenue came in at $20.77 billion as of Sep 30, 2026, up 7.4% year-over-year; for FY2025, it came in at $19.32 billion, up 3.3% from FY2024.
- Annual Cost of Revenue has a five-year compound annual growth rate of 5.2% (FY2020 to FY2025).
- Across earlier years, Cost of Revenue came in at $18.71 billion in FY2024 (+4.1%), $17.98 billion in FY2023 (-6.1%), $19.14 billion in FY2022 (+3.3%) and $18.54 billion in FY2021 (+23.6%).
- The Q3 2026 figure is the highest quarterly Cost of Revenue in data going back to Q2 2009.
- On a year-over-year basis, Cost of Revenue has increased for three consecutive quarters, with growth averaging 6.5% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 13.3% in Q1 2022, against a decline of 13.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.33 billion (Q2 2026), $4.89 billion (Q1 2026) and $4.92 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 259.44 Bn | 236.08 Bn | 5.13 Bn | 7.01 Bn |
| 2 | Abbott Laboratories | 187.98 Bn | 162.45 Bn | 7.39 Bn | 5.63 Bn |
| 3 | Danaher | 163.91 Bn | 143.58 Bn | 3.84 Bn | 2.72 Bn |
| 4 | Intuitive Surgical | 153.75 Bn | 134.17 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 131.67 Bn | 97.80 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 117.84 Bn | 104.03 Bn | 4.25 Bn | 2.27 Bn |
| 7 | Boston Scientific | 64.27 Bn | 59.95 Bn | 3.43 Bn | 1.71 Bn |
| 8 | Edwards Lifesciences | 61.69 Bn | 45.00 Bn | 1.35 Bn | 369.20 Mn |
| 9 | Medline | 51.94 Bn | 49.07 Bn | 1.93 Bn | 5.93 Bn |
| 10 | Agilent Technologies | 49.04 Bn | 41.92 Bn | 1.04 Bn | 836.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 5.63 Bn |
| Jun 30, 2026 | 5.33 Bn |
| Mar 31, 2026 | 4.89 Bn |
| Dec 31, 2025 | 4.92 Bn |
| Sep 30, 2025 | 5.08 Bn |
| Jun 30, 2025 | 4.85 Bn |
| Mar 31, 2025 | 4.47 Bn |
| Dec 31, 2024 | 4.94 Bn |
| Sep 30, 2024 | 4.70 Bn |
| Jun 30, 2024 | 4.60 Bn |
| Mar 31, 2024 | 4.46 Bn |
| Dec 31, 2023 | 4.56 Bn |
| Sep 30, 2023 | 4.61 Bn |
| Jun 30, 2023 | 4.48 Bn |
| Mar 31, 2023 | 4.33 Bn |
| Dec 31, 2022 | 4.59 Bn |
| Sep 30, 2022 | 4.63 Bn |
| Jun 30, 2022 | 4.93 Bn |
| Mar 31, 2022 | 4.99 Bn |
| Dec 31, 2021 | 4.77 Bn |
API Access
Abbott Laboratories Cost of Revenue 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=cost-of-revenue&ticker=ABT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=ABT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();