Johnson & Johnson (JNJ) Tax Provisions (2009 - 2026)
Johnson & Johnson (JNJ) posted Tax Provisions of $1.21 billion for Q2 2026, up 27.1% from $954 million a year earlier and up 60.7% from the prior quarter.
Johnson & Johnson (JNJ) Tax Provisions (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Tax Provisions at Johnson & Johnson was $4.16 billion, down 11.2% year-over-year; for FY2025, it was $5.78 billion, up 120.4% from FY2024.
- Annual Tax Provisions shows a four-year compound annual growth rate of 34.2% (FY2021 to FY2025).
- In prior years, Johnson & Johnson's Tax Provisions was $2.62 billion in FY2024 (+51.0%), $1.74 billion in FY2023 (-41.9%), $2.99 billion in FY2022 and $1.78 billion in FY2021.
- Quarterly Tax Provisions has run from a low of -$796 million in Q1 2023 to a high of $2.63 billion in Q1 2025 over five years.
- On a year-over-year basis, Tax Provisions increased in three of the last seven quarters, with growth averaging 88.5%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was Q1 2025, with growth of 473.4%; the weakest was Q1 2026, with a decline of 71.3%.
- According to Business Quant data, Tax Provisions for the three prior quarters was $755 million (Q1 2026), -$150 million (Q4 2025) and $2.34 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.21 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 662.00 Mn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 654.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -1.01 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -291.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 393.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 242.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | -407.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 292.00 Mn |
| 10 | Bristol Myers Squibb | 127.55 Bn | 78.82 Bn | 9.25 Bn | 770.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.21 Bn |
| Mar 29, 2026 | 755.00 Mn |
| Dec 28, 2025 | -150.00 Mn |
| Sep 28, 2025 | 2.34 Bn |
| Jun 29, 2025 | 954.00 Mn |
| Mar 30, 2025 | 2.63 Bn |
| Dec 29, 2024 | 456.00 Mn |
| Sep 29, 2024 | 644.00 Mn |
| Jun 30, 2024 | 1.06 Bn |
| Mar 31, 2024 | 459.00 Mn |
| Dec 31, 2023 | 694.00 Mn |
| Oct 1, 2023 | 908.00 Mn |
| Jul 2, 2023 | 930.00 Mn |
| Apr 2, 2023 | -796.00 Mn |
| Jan 1, 2023 | 1.19 Bn |
| Oct 2, 2022 | 862.00 Mn |
| Jul 3, 2022 | 1.03 Bn |
| Apr 3, 2022 | 713.00 Mn |
| Oct 3, 2021 | 182.00 Mn |
| Jul 4, 2021 | 384.00 Mn |
Johnson & Johnson Tax Provisions 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=tax-provisions&ticker=JNJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=JNJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();