Jazz Pharmaceuticals (JAZZ) Operating Expenses (2010 - 2026)
Jazz Pharmaceuticals (JAZZ) posted Operating Expenses of $960.1 million for Q2 2026, down 44.6% from $1.73 billion a year earlier but up 31.1% from the prior quarter.
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Analysis
Jazz Pharmaceuticals (JAZZ) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Jazz Pharmaceuticals was $3.7 billion, down 15.4% year-over-year; for FY2025, it came in at $4.7 billion, up 40.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- In prior years, Jazz Pharmaceuticals' Operating Expenses was $3.35 billion in FY2024 (+3.0%), $3.26 billion in FY2023 (-12.6%), $3.72 billion in FY2022 (+27.4%) and $2.92 billion in FY2021 (+47.3%).
- Quarterly Operating Expenses has run from a low of $726.17 million in Q1 2022 to a high of $1.73 billion in Q2 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 12.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2025, with growth of 110.1%; the weakest was Q2 2026, with a decline of 44.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $732.3 million (Q1 2026), $943.39 million (Q4 2025) and $1.07 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Jazz Pharmaceuticals | 15.47 Bn | 9.29 Bn | 1.09 Bn | 960.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 960.10 Mn |
| Mar 31, 2026 | 732.30 Mn |
| Dec 31, 2025 | 943.39 Mn |
| Sep 30, 2025 | 1.07 Bn |
| Jun 30, 2025 | 1.73 Bn |
| Mar 31, 2025 | 953.70 Mn |
| Dec 31, 2024 | 897.40 Mn |
| Sep 30, 2024 | 794.76 Mn |
| Jun 30, 2024 | 824.38 Mn |
| Mar 31, 2024 | 835.78 Mn |
| Dec 31, 2023 | 889.44 Mn |
| Sep 30, 2023 | 799.75 Mn |
| Jun 30, 2023 | 799.68 Mn |
| Mar 31, 2023 | 766.76 Mn |
| Dec 31, 2022 | 1.24 Bn |
| Sep 30, 2022 | 915.89 Mn |
| Jun 30, 2022 | 847.33 Mn |
| Mar 31, 2022 | 726.17 Mn |
| Dec 31, 2021 | 847.35 Mn |
| Sep 30, 2021 | 809.75 Mn |
API Access
Jazz Pharmaceuticals Operating 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=operating-expenses&ticker=JAZZ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=JAZZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();