Johnson & Johnson (JNJ) Change in Accrued Expenses (2009 - 2026)
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Analysis
Johnson & Johnson (JNJ) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,224.11 Bn | 1,197.72 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 665.34 Bn | 585.20 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 515.72 Bn | 483.73 Bn | 13.12 Bn | 983.00 Mn |
| 4 | Merck | 362.64 Bn | 325.58 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 315.51 Bn | 288.75 Bn | - | - |
| 6 | Astrazeneca | 289.26 Bn | 263.15 Bn | 13.26 Bn | - |
| 7 | Amgen | 249.20 Bn | 200.85 Bn | 7.58 Bn | -87.00 Mn |
| 8 | Gilead Sciences | 207.48 Bn | 182.59 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.49 Bn | 114.85 Bn | 12.56 Bn | - |
| 10 | Vertex Pharmaceuticals | 138.73 Bn | 110.72 Bn | 2.91 Bn | -7.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 2.41 Bn |
| Jun 28, 2026 | 2.96 Bn |
| Mar 29, 2026 | -3.92 Bn |
| Dec 28, 2025 | 1.27 Bn |
| Sep 28, 2025 | 2.00 Bn |
| Jun 29, 2025 | 1.24 Bn |
| Mar 30, 2025 | -2.13 Bn |
| Dec 29, 2024 | -1.09 Bn |
| Sep 29, 2024 | 2.26 Bn |
| Jun 30, 2024 | 2.93 Bn |
| Mar 31, 2024 | -2.48 Bn |
| Dec 31, 2023 | 1.68 Bn |
| Oct 1, 2023 | 1.73 Bn |
| Jul 2, 2023 | 1.51 Bn |
| Apr 2, 2023 | -2.57 Bn |
| Jan 1, 2023 | 916.00 Mn |
| Apr 3, 2022 | -2.82 Bn |
| Oct 3, 2021 | 4.23 Bn |
| Jul 4, 2021 | -1.71 Bn |
| Apr 4, 2021 | -2.34 Bn |
API Access
Johnson & Johnson Change in Accrued 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=JNJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "JNJ", "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=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();