Sanofi (SNY) EBITDA (2009 - 2026)
Sanofi (SNY) recorded EBITDA of $4.16 billion in the quarter ended Jun 30, 2026, up 26.7% from $3.29 billion a year earlier and up 44.2% from the prior quarter.
Sanofi (SNY) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Sanofi's EBITDA came in at $7.94 billion as of Jun 30, 2026, down 34.7% year-over-year; for the year ended Dec 31, 2025, it was $13.58 billion, up 15.8% from the prior year.
- Annual EBITDA has a five-year compound annual growth rate of -7.7% (years ended Dec 2020 to Dec 2025).
- Across earlier years, EBITDA came in at $11.73 billion in the year ended Dec 31, 2024 (-4.8%), $12.32 billion in the year ended Dec 31, 2023 (-11.9%), $13.99 billion in the year ended Dec 31, 2022 (+3.0%) and $13.58 billion in the year ended Dec 31, 2021 (-33.1%).
- Quarterly EBITDA has ranged from -$6.92 billion in the quarter ended Dec 31, 2025 to $9.11 billion in the quarter ended Dec 31, 2023 over the past five years.
- On a year-over-year basis, EBITDA rose in six of the last seven quarters, with growth averaging 26.6%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 103.7% in the quarter ended Sep 30, 2025, against a decline of 75.2% in the quarter ended Dec 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.89 billion (quarter ended Mar 31, 2026), -$6.92 billion (quarter ended Dec 31, 2025) and $7.81 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,144.36 Bn | 1,112.95 Bn | 19.71 Bn | 12.29 Bn |
| 2 | Johnson & Johnson | 635.36 Bn | 555.22 Bn | 17.30 Bn | 8.30 Bn |
| 3 | AbbVie | 502.79 Bn | 475.90 Bn | 12.70 Bn | 8.33 Bn |
| 4 | Merck | 356.08 Bn | 310.46 Bn | 12.21 Bn | 999.00 Mn |
| 5 | Novartis Ag | 300.87 Bn | 264.86 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 264.31 Bn | 237.99 Bn | 12.86 Bn | 5.09 Bn |
| 7 | Amgen | 239.07 Bn | 194.47 Bn | 7.24 Bn | 4.63 Bn |
| 8 | Gilead Sciences | 194.50 Bn | 168.70 Bn | 6.22 Bn | -9.70 Bn |
| 9 | Pfizer | 171.00 Bn | 117.64 Bn | 10.94 Bn | 5.89 Bn |
| 10 | Sanofi | 50.63 Bn | 17.15 Bn | 10.79 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.86 Bn |
| Dec 31, 2025 | -9.72 Bn |
| Mar 31, 2025 | 2.77 Bn |
| Dec 31, 2024 | 2.26 Bn |
| Mar 31, 2024 | 1.70 Bn |
| Dec 31, 2023 | 1.01 Bn |
| Mar 31, 2023 | 3.04 Bn |
| Dec 31, 2022 | 5.81 Bn |
| Mar 31, 2022 | 3.10 Bn |
| Dec 31, 2021 | 3.37 Bn |
| Mar 31, 2021 | 2.90 Bn |
| Mar 31, 2020 | 2.66 Bn |
| Mar 31, 2019 | 2.02 Bn |
| Dec 31, 2018 | 1.15 Bn |
| Dec 31, 2015 | 1.94 Bn |
| Dec 31, 2014 | 3.69 Bn |
| Dec 31, 2013 | 3.47 Bn |
| Dec 31, 2012 | 2.20 Bn |
| Dec 31, 2011 | 2.83 Bn |
| Dec 31, 2010 | 1.91 Bn |
Sanofi 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=SNY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "SNY", "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=SNY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();