AbbVie (ABBV) Operating Expenses (2012 - 2026)
AbbVie (ABBV) posted Operating Expenses of $10.56 billion for Q2 2026, up 0.3% from $10.53 billion a year earlier but down 4.1% from the prior quarter.
AbbVie (ABBV) Operating Expenses (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at AbbVie was $47.52 billion, up 0.3% year-over-year; for FY2025, it came in at $46.09 billion, down 2.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In prior years, AbbVie's Operating Expenses was $47.2 billion in FY2024 (+13.6%), $41.56 billion in FY2023 (+4.1%), $39.94 billion in FY2022 (+4.3%) and $38.27 billion in FY2021 (+11.1%).
- Quarterly Operating Expenses has run from a low of $8.82 billion in Q1 2022 to a high of $16.59 billion in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 7.6%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 49.4%; the weakest was Q4 2025, with a decline of 27.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $11.01 billion (Q1 2026), $12.07 billion (Q4 2025) and $13.87 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn | 8.89 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.56 Bn |
| Mar 31, 2026 | 11.01 Bn |
| Dec 31, 2025 | 12.07 Bn |
| Sep 30, 2025 | 13.87 Bn |
| Jun 30, 2025 | 10.53 Bn |
| Mar 31, 2025 | 9.61 Bn |
| Dec 31, 2024 | 16.59 Bn |
| Sep 30, 2024 | 10.63 Bn |
| Jun 30, 2024 | 10.46 Bn |
| Mar 31, 2024 | 9.51 Bn |
| Dec 31, 2023 | 11.11 Bn |
| Sep 30, 2023 | 11.65 Bn |
| Jun 30, 2023 | 9.35 Bn |
| Mar 31, 2023 | 9.46 Bn |
| Dec 31, 2022 | 9.62 Bn |
| Sep 30, 2022 | 10.21 Bn |
| Jun 30, 2022 | 11.29 Bn |
| Mar 31, 2022 | 8.82 Bn |
| Dec 31, 2021 | 9.81 Bn |
| Sep 30, 2021 | 10.04 Bn |
AbbVie Operating Expenses 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=operating-expenses&ticker=ABBV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ABBV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ABBV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();