Johnson & Johnson (JNJ) Restructuring Costs (2010 - 2026)
Johnson & Johnson (JNJ) reported Restructuring Costs of $34 million for Q2 2026, down 46.9% from $64 million a year earlier but up 6.3% from the prior quarter.
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Analysis
Johnson & Johnson (JNJ) Restructuring Costs (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Johnson & Johnson's Restructuring Costs came in at $213 million, up 29.9% year-over-year; for FY2025, it came in at $228 million, down 2.6% from FY2024.
- Restructuring Costs has a four-year compound annual growth rate of -2.0% (FY2021 to FY2025).
- By year, Restructuring Costs came in at $234 million in FY2024 (-52.1%), $489 million in FY2023 (+77.8%), $275 million in FY2022 and $247 million in FY2021.
- Five-year quarterly Restructuring Costs spans a low of -$13 million in Q2 2024 and a high of $164 million in Q1 2024.
- Year over year, Restructuring Costs gained in three of the last seven quarters, with growth averaging 0.9%.
- The high point for year-over-year Restructuring Costs in five years was Q4 2025 (growth of 100.0%); the low point was Q1 2025 (a decline of 89.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $32 million (Q1 2026), $84 million (Q4 2025) and $63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 34.00 Mn |
| Mar 29, 2026 | 32.00 Mn |
| Dec 28, 2025 | 84.00 Mn |
| Sep 28, 2025 | 63.00 Mn |
| Jun 29, 2025 | 64.00 Mn |
| Mar 30, 2025 | 17.00 Mn |
| Dec 29, 2024 | 42.00 Mn |
| Sep 29, 2024 | 41.00 Mn |
| Jun 30, 2024 | -13.00 Mn |
| Mar 31, 2024 | 164.00 Mn |
| Dec 31, 2023 | 56.00 Mn |
| Oct 1, 2023 | 158.00 Mn |
| Jul 2, 2023 | 145.00 Mn |
| Apr 2, 2023 | 130.00 Mn |
| Jan 1, 2023 | 106.00 Mn |
| Oct 2, 2022 | 65.00 Mn |
| Jul 3, 2022 | 85.00 Mn |
| Apr 3, 2022 | 70.00 Mn |
| Oct 3, 2021 | 60.00 Mn |
| Jul 4, 2021 | 56.00 Mn |
API Access
Johnson & Johnson Restructuring Costs 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=restructuring-costs&ticker=JNJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();