Bunge Global (BG) EV to EBITDA (2023 - 2026)
Bunge Global's (BG) EV to EBITDA stood at 6.37 in Q3 2026, down 5.1% from 6.72 a year earlier and down 3.3% from the prior quarter.
Bunge Global (BG) EV to EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, Bunge Global's EV to EBITDA came in at 5.61 as of Sep 30, 2026, up 987.9% year-over-year; for FY2025, it was 8.79, up 157.7% from FY2024.
- Across earlier years, EV to EBITDA came in at 3.41 in FY2024 (+2.8%), 3.32 in FY2023 (-34.9%), 5.09 in FY2022 (+2.8%) and 4.95 in FY2021.
- The Q3 2026 figure is the lowest quarterly EV to EBITDA since Q2 2025.
- On a year-over-year basis, EV to EBITDA rose in six of the last eight quarters, with growth averaging 69.2%.
- Peak year-over-year performance for EV to EBITDA in the last five years was growth of 220.9% in Q2 2026, against a decline of 63.5% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 6.59 (Q2 2026), 11.19 (Q1 2026) and 8.79 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 33.69 Bn | 30.17 Bn | 1.89 Bn |
| 2 | Tyson Foods | 21.12 Bn | 17.37 Bn | 921.00 Mn |
| 3 | Bunge Global | 18.99 Bn | 15.90 Bn | 1.33 Bn |
| 4 | Jbs | 13.48 Bn | -1.41 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 8.10 Bn | 7.65 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.58 Bn | 2.13 Bn | 313.00 Mn |
| 7 | Pilgrims Pride | 6.86 Bn | 4.35 Bn | 333.67 Mn |
| 8 | Ingredion | 5.83 Bn | 2.00 Bn | 426.00 Mn |
| 9 | Scotts Miracle-Gro | 3.75 Bn | 3.67 Bn | 365.90 Mn |
| 10 | Seaboard | 3.67 Bn | -1.40 Bn | 132.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.37 |
| Jun 30, 2026 | 6.59 |
| Mar 31, 2026 | 11.19 |
| Dec 31, 2025 | 8.79 |
| Sep 30, 2025 | 6.72 |
| Jun 30, 2025 | 2.05 |
| Mar 31, 2025 | 3.78 |
| Dec 31, 2024 | 3.41 |
| Sep 30, 2024 | 4.79 |
| Jun 30, 2024 | 5.64 |
| Mar 31, 2024 | 3.62 |
| Dec 31, 2023 | 3.32 |
Bunge Global 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=BG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "BG", "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=BG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();