Novartis Ag (NVS) EV to EBITDA (2009 - 2026)
Novartis Ag's EV to EBITDA came in at 14.37 for Q1 2026, up 25.3% from 11.47 a year earlier.
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Analysis
Novartis Ag (NVS) EV to EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Novartis Ag reported EV to EBITDA of 12.64, up 35.2% year-over-year; for FY2022, it was 23.86, up 38.9% from FY2021.
- Going back by year, EV to EBITDA was 17.18 in FY2021.
- The Q1 2026 figure represents the highest quarterly EV to EBITDA in data going back to Q1 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 653.54 Bn | 572.07 Bn | 17.26 Bn |
| 2 | AbbVie | 467.01 Bn | 440.17 Bn | 12.70 Bn |
| 3 | Merck | 367.16 Bn | 321.59 Bn | 12.21 Bn |
| 4 | Novartis Ag | 277.56 Bn | 233.43 Bn | 11.24 Bn |
| 5 | Astrazeneca | 258.23 Bn | 231.79 Bn | 12.86 Bn |
| 6 | Amgen | 224.14 Bn | 179.54 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.30 Bn | 161.42 Bn | 6.22 Bn |
| 8 | Pfizer | 163.47 Bn | 110.41 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.31 Bn | 105.31 Bn | 2.84 Bn |
| 10 | Bristol Myers Squibb | 128.45 Bn | 79.72 Bn | 9.25 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 14.37 |
| Mar 31, 2025 | 11.47 |
| Mar 31, 2022 | 11.05 |
| Mar 31, 2021 | 12.25 |
| Mar 31, 2020 | 13.05 |
| Mar 31, 2019 | 13.97 |
| Mar 31, 2018 | 11.80 |
| Dec 31, 2017 | 11.83 |
| Sep 30, 2017 | 12.90 |
| Jun 30, 2017 | 12.65 |
| Mar 31, 2017 | 11.26 |
| Dec 31, 2016 | 10.97 |
| Sep 30, 2016 | 11.24 |
| Jun 30, 2016 | 12.07 |
| Mar 31, 2016 | 10.42 |
| Dec 31, 2015 | 12.21 |
| Sep 30, 2015 | 10.33 |
| Jun 30, 2015 | 10.43 |
| Mar 31, 2015 | 10.09 |
| Dec 31, 2014 | 9.20 |
API Access
Novartis Ag EV to 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=ev-to-ebitda&ticker=NVS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=NVS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();