Bunge Global (BG) EV to EBITDA (2023 - 2026)
Bunge Global's (BG) EV to EBITDA stood at 7.03 in Q2 2026, up 242.2% from 2.05 a year earlier but down 37.2% from the prior quarter.
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Analysis
Bunge Global (BG) EV to EBITDA (2023 - 2026) Analysis & Trends
On a TTM basis, Bunge Global's EV to EBITDA came in at 5.94 as of Jun 30, 2026; 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.
- Quarterly EV to EBITDA has ranged from 2.05 in Q2 2025 to 11.19 in Q1 2026 over the past five years.
- On a year-over-year basis, EV to EBITDA has increased for four consecutive quarters, with growth averaging 84.8% over the last seven quarters.
- Per Business Quant, the preceding three quarters came in at 11.19 (Q1 2026), 8.79 (Q4 2025) and 7.37 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn |
| 10 | Cal-Maine Foods | 3.16 Bn | 2.05 Bn | 34.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.03 |
| Mar 31, 2026 | 11.19 |
| Dec 31, 2025 | 8.79 |
| Sep 30, 2025 | 7.37 |
| 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 |
API Access
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_KEYimport 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();