AbbVie (ABBV) Change in Accured Expenses (2012 - 2026)
AbbVie (ABBV) recorded Change in Accured Expenses of $1.2 billion in Q2 2026, up 133.4% from $515 million a year earlier.
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Analysis
AbbVie (ABBV) Change in Accured Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, AbbVie's Change in Accured Expenses came in at $740 million as of Jun 30, 2026, down 44.5% year-over-year; for FY2025, it came in at $951 million, up 437.3% from FY2024.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -8.9% (FY2020 to FY2025).
- Across earlier years, Change in Accured Expenses came in at $177 million in FY2024 (-95.4%), $3.84 billion in FY2023 (+117.1%), $1.77 billion in FY2022 (+2.9%) and $1.72 billion in FY2021 (+13.5%).
- Quarterly Change in Accured Expenses has ranged from -$1.7 billion in Q2 2024 to $2.54 billion in Q3 2023 over the past five years.
- On a year-over-year basis, Change in Accured Expenses rose in three of the last four quarters, with growth averaging 297.1%.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 596.6% in Q4 2024, against a decline of 89.5% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at -$1.59 billion (Q1 2026), -$598 million (Q4 2025) and $1.73 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,122.91 Bn | 1,091.50 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 615.09 Bn | 533.62 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 360.18 Bn | 314.55 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 292.05 Bn | 256.04 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 256.09 Bn | 229.78 Bn | 12.86 Bn | - |
| 7 | Amgen | 233.63 Bn | 189.02 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn | 222.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Bn |
| Mar 31, 2026 | -1.59 Bn |
| Dec 31, 2025 | -598.00 Mn |
| Sep 30, 2025 | 1.73 Bn |
| Jun 30, 2025 | 515.00 Mn |
| Mar 31, 2025 | -696.00 Mn |
| Dec 31, 2024 | 1.25 Bn |
| Sep 30, 2024 | 267.00 Mn |
| Jun 30, 2024 | -1.70 Bn |
| Mar 31, 2024 | 362.00 Mn |
| Dec 31, 2023 | 179.00 Mn |
| Sep 30, 2023 | 2.54 Bn |
| Jun 30, 2023 | 1.57 Bn |
| Mar 31, 2023 | -451.00 Mn |
| Dec 31, 2022 | 1.28 Bn |
| Sep 30, 2022 | 939.00 Mn |
| Jun 30, 2022 | -190.00 Mn |
| Mar 31, 2022 | -258.00 Mn |
| Dec 31, 2021 | 265.00 Mn |
| Sep 30, 2021 | 1.15 Bn |
API Access
AbbVie Change in Accured 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=change-in-accured-expenses&ticker=ABBV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=ABBV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();