Novartis Ag (NVS) EBITDA (2009 - 2026)
Novartis Ag's EBITDA was $5.44 billion in Q1 2026, down 7.1% from $5.86 billion a year earlier.
Novartis Ag (NVS) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Novartis Ag's EBITDA was $19.67 billion through Mar 31, 2026, up 6.8% year-over-year; for FY2022, it came in at $7.65 billion, down 21.5% from FY2021.
- EBITDA shows a five-year compound annual growth rate of -12.6% (FY2017 to FY2022).
- In earlier years, EBITDA was $9.74 billion in FY2021.
- The Q1 2026 figure marks the lowest quarterly EBITDA since Q1 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,109.83 Bn | 1,078.42 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 610.61 Bn | 529.14 Bn | 17.26 Bn | 9.10 Bn |
| 3 | AbbVie | 500.66 Bn | 473.77 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 354.64 Bn | 309.02 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 291.14 Bn | 255.13 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 254.18 Bn | 227.87 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 229.46 Bn | 184.86 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 190.33 Bn | 164.53 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 167.92 Bn | 114.57 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Vertex Pharmaceuticals | 127.25 Bn | 99.26 Bn | 2.84 Bn | 1.30 Bn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 5.44 Bn |
| Mar 31, 2025 | 5.86 Bn |
| Mar 31, 2024 | 4.72 Bn |
| Mar 31, 2023 | 4.66 Bn |
| Mar 31, 2022 | 4.36 Bn |
| Mar 31, 2021 | 4.01 Bn |
| Mar 31, 2020 | 4.19 Bn |
| Mar 31, 2019 | 3.70 Bn |
| Mar 31, 2018 | 3.30 Bn |
| Dec 31, 2017 | 3.79 Bn |
| Sep 30, 2017 | 3.84 Bn |
| Jun 30, 2017 | 3.63 Bn |
| Mar 31, 2017 | 3.70 Bn |
| Dec 31, 2016 | 3.29 Bn |
| Sep 30, 2016 | 3.78 Bn |
| Jun 30, 2016 | 3.56 Bn |
| Mar 31, 2016 | 3.82 Bn |
| Dec 31, 2015 | 3.11 Bn |
| Sep 30, 2015 | 3.59 Bn |
| Jun 30, 2015 | 3.79 Bn |
Novartis Ag EBITDA 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=ebitda&ticker=NVS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "NVS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=NVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();