Jazz Pharmaceuticals (JAZZ) Amortization - Intangibles (2010 - 2026)
Jazz Pharmaceuticals' Amortization - Intangibles came in at $170 million for Q2 2026, up 4.9% from $162.1 million a year earlier but down 1.3% from the prior quarter.
Jazz Pharmaceuticals (JAZZ) Amortization - Intangibles (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jazz Pharmaceuticals reported Amortization - Intangibles of $680.41 million, up 7.5% year-over-year; for FY2025, it came in at $654.66 million, up 4.4% from FY2024.
- Amortization - Intangibles has increased in each of the last five years, with a five-year compound annual growth rate of 20.3% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $627.31 million in FY2024 (+3.1%), $608.28 million in FY2023 (+1.5%), $599.17 million in FY2022 (+14.0%) and $525.77 million in FY2021 (+102.5%).
- The five-year range for quarterly Amortization - Intangibles is $137.39 million (Q4 2022) to $172.3 million (Q1 2026).
- Year-over-year, Amortization - Intangibles has increased for five consecutive quarters, with growth averaging 5.0% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q1 2022 (growth of 152.4%), and the weakest in Q1 2023 (a decline of 13.0%).
- Business Quant data shows JAZZ's Amortization - Intangibles at $172.3 million (Q1 2026), $169.74 million (Q4 2025) and $168.37 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Jazz Pharmaceuticals | 15.03 Bn | 8.85 Bn | 1.09 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 170.00 Mn |
| Mar 31, 2026 | 172.30 Mn |
| Dec 31, 2025 | 169.74 Mn |
| Sep 30, 2025 | 168.37 Mn |
| Jun 30, 2025 | 162.10 Mn |
| Mar 31, 2025 | 154.40 Mn |
| Dec 31, 2024 | 158.90 Mn |
| Sep 30, 2024 | 157.46 Mn |
| Jun 30, 2024 | 155.22 Mn |
| Mar 31, 2024 | 155.73 Mn |
| Dec 31, 2023 | 151.55 Mn |
| Sep 30, 2023 | 154.88 Mn |
| Jun 30, 2023 | 152.06 Mn |
| Mar 31, 2023 | 149.79 Mn |
| Dec 31, 2022 | 137.39 Mn |
| Sep 30, 2022 | 141.23 Mn |
| Jun 30, 2022 | 148.46 Mn |
| Mar 31, 2022 | 172.09 Mn |
| Dec 31, 2021 | 157.29 Mn |
| Sep 30, 2021 | 159.80 Mn |
Jazz Pharmaceuticals Amortization - Intangibles 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=amortization-intangibles&ticker=JAZZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "JAZZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=JAZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();