Novartis Ag (NVS) EV to EBITDA (2009 - 2026)
Novartis Ag's EV to EBITDA came in at 13.78 for Q1 2026, up 26.7% from 10.87 a year earlier.
Powered by 
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 12.41, up 37.2% year-over-year; for FY2017, it was 10.97, up 7.6% from FY2016.
- Going back by year, EV to EBITDA was 10.19 in FY2016 (-16.5%), 12.21 in FY2015 (+15.4%), 10.58 in FY2014 (+9.2%) and 9.68 in FY2013 (+39.7%).
- The Q1 2026 figure represents the highest quarterly EV to EBITDA since Q2 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn |
| 10 | Vertex Pharmaceuticals | 139.96 Bn | 111.95 Bn | 2.91 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 13.78 |
| Mar 31, 2025 | 10.87 |
| Mar 31, 2024 | 10.60 |
| Mar 31, 2023 | 10.61 |
| Mar 31, 2022 | 10.92 |
| Mar 31, 2021 | 12.43 |
| Mar 31, 2020 | 12.16 |
| Mar 31, 2019 | 13.13 |
| Mar 31, 2018 | 11.10 |
| Dec 31, 2017 | 11.02 |
| Sep 30, 2017 | 11.99 |
| Jun 30, 2017 | 11.75 |
| Mar 31, 2017 | 10.46 |
| Dec 31, 2016 | 10.19 |
| Sep 30, 2016 | 11.24 |
| Jun 30, 2016 | 12.07 |
| Mar 31, 2016 | 10.42 |
| Dec 31, 2015 | 12.21 |
| Sep 30, 2015 | 12.70 |
| Jun 30, 2015 | 15.93 |
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();