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.
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Analysis
Novartis Ag (NVS) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Novartis Ag's EBITDA was $20.68 billion through Mar 31, 2026, up 5.5% year-over-year; for FY2022, it came in at -$54.37 billion.
- In earlier years, EBITDA was -$58.14 billion in FY2021.
- The Q1 2026 figure marks the lowest quarterly EBITDA since Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,248.16 Bn | 1,221.78 Bn | 20.46 Bn | 13.33 Bn |
| 2 | Johnson & Johnson | 670.28 Bn | 590.14 Bn | 17.30 Bn | 8.30 Bn |
| 3 | AbbVie | 514.81 Bn | 482.82 Bn | 13.12 Bn | 8.16 Bn |
| 4 | Merck | 363.68 Bn | 326.63 Bn | 13.19 Bn | 7.37 Bn |
| 5 | Novartis Ag | 314.66 Bn | 287.90 Bn | - | - |
| 6 | Astrazeneca | 292.36 Bn | 266.25 Bn | 13.26 Bn | 5.99 Bn |
| 7 | Amgen | 248.52 Bn | 200.18 Bn | 7.58 Bn | 4.83 Bn |
| 8 | Gilead Sciences | 209.74 Bn | 184.85 Bn | 6.73 Bn | 4.20 Bn |
| 9 | Pfizer | 165.67 Bn | 113.03 Bn | 12.56 Bn | 7.05 Bn |
| 10 | Vertex Pharmaceuticals | 138.39 Bn | 110.38 Bn | 2.91 Bn | 782.10 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();