Johnson & Johnson (JNJ) Change in Inventory (2009 - 2026)
Johnson & Johnson (JNJ) recorded Change in Inventory of $571 million in Q2 2026, up 12.0% from $510 million a year earlier and up 32.5% from the prior quarter.
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Analysis
Johnson & Johnson (JNJ) Change in Inventory (2009 - 2026) Analysis & Trends
On a TTM basis, Johnson & Johnson's Change in Inventory came in at $1.8 billion as of Jun 28, 2026, up 71.9% year-over-year; for FY2025, it came in at $1.45 billion, up 28.5% from FY2024.
- Annual Change in Inventory has a four-year compound annual growth rate of 52.9% (FY2021 to FY2025).
- Across earlier years, Change in Inventory came in at $1.13 billion in FY2024 (-14.7%), $1.32 billion in FY2023 (-47.6%), $2.53 billion in FY2022 and $265 million in FY2021.
- Quarterly Change in Inventory has ranged from -$124 million in Q4 2023 to $1.35 billion in Q4 2022 over the past five years.
- On a year-over-year basis, Change in Inventory rose in four of the last seven quarters, with growth averaging 31.9%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 195.2% in Q1 2026, against a decline of 58.0% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $431 million (Q1 2026), $46 million (Q4 2025) and $748 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (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 | 571.00 Mn |
| 3 | AbbVie | 504.75 Bn | 477.86 Bn | 12.70 Bn | 143.00 Mn |
| 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 | 31.00 Mn |
| 8 | Gilead Sciences | 194.49 Bn | 168.69 Bn | 6.22 Bn | 145.00 Mn |
| 9 | Pfizer | 168.35 Bn | 114.99 Bn | 10.94 Bn | - |
| 10 | Vertex Pharmaceuticals | 126.70 Bn | 98.70 Bn | 2.84 Bn | 27.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 571.00 Mn |
| Mar 29, 2026 | 431.00 Mn |
| Dec 28, 2025 | 46.00 Mn |
| Sep 28, 2025 | 748.00 Mn |
| Jun 29, 2025 | 510.00 Mn |
| Mar 30, 2025 | 146.00 Mn |
| Dec 29, 2024 | 90.00 Mn |
| Sep 29, 2024 | 299.00 Mn |
| Jun 30, 2024 | 391.00 Mn |
| Mar 31, 2024 | 348.00 Mn |
| Dec 31, 2023 | -124.00 Mn |
| Oct 1, 2023 | 706.00 Mn |
| Jul 2, 2023 | 217.00 Mn |
| Apr 2, 2023 | 524.00 Mn |
| Jan 1, 2023 | 1.35 Bn |
| Apr 3, 2022 | 600.00 Mn |
| Oct 3, 2021 | 360.00 Mn |
| Jul 4, 2021 | 123.00 Mn |
| Apr 4, 2021 | 695.00 Mn |
| Jan 3, 2021 | -519.00 Mn |
API Access
Johnson & Johnson Change in Inventory 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-inventory&ticker=JNJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();