Baxter International (BAX) EV to EBITDA (2009 - 2026)
Baxter International's (BAX) EV to EBITDA stood at 5.85 in Q2 2026, down 10.3% from 6.52 a year earlier but up 33.6% from the prior quarter.
Baxter International (BAX) EV to EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Baxter International's EV to EBITDA came in at 2.07 as of Jun 30, 2026, down 47.6% year-over-year; for FY2025, it was 11.64, down 10.9% from FY2024.
- Across earlier years, EV to EBITDA came in at 13.07 in FY2024 (+33.0%), 9.83 in FY2023 and 25.87 in FY2021 (+48.0%).
- Quarterly EV to EBITDA has ranged from 4.38 in Q1 2026 to 27.71 in Q3 2023 over the past five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Baxter International | 12.41 Bn | 4.52 Bn | 1.03 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.85 |
| Mar 31, 2026 | 4.38 |
| Jun 30, 2025 | 6.52 |
| Mar 31, 2025 | 8.89 |
| Mar 31, 2024 | 11.14 |
| Dec 31, 2023 | 9.83 |
| Sep 30, 2023 | 27.71 |
| Jun 30, 2022 | 22.15 |
| Mar 31, 2022 | 24.88 |
| Dec 31, 2021 | 25.87 |
| Sep 30, 2021 | 16.40 |
| Jun 30, 2021 | 16.80 |
| Mar 31, 2021 | 18.44 |
| Dec 31, 2020 | 17.48 |
| Sep 30, 2020 | 16.58 |
| Jun 30, 2020 | 17.64 |
| Mar 31, 2020 | 16.67 |
| Dec 31, 2019 | 17.15 |
| Sep 30, 2019 | 19.42 |
| Jun 30, 2019 | 19.33 |
Baxter International 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=BAX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "BAX", "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=BAX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();