Esg (ESGH) Price to Book (2023 - 2026)
Esg's Price to Book came in at 6.97 for Q1 2026, down 53.4% from 14.96 a year earlier and down 38.7% from the prior quarter.
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Analysis
Esg (ESGH) Price to Book (2023 - 2026) Analysis & Trends
For FY2025, Esg's Price to Book was 11.36, down 34.5% from FY2024.
- Going back by year, Price to Book was 17.34 in FY2024 (+766.7%) and 2.00 in FY2023.
- The Q1 2026 figure represents the lowest quarterly Price to Book since Q1 2024.
- Year-over-year, Price to Book has declined for three consecutive quarters, with growth averaging 134.4% over the last five quarters.
- Business Quant data shows ESGH's Price to Book at 11.36 (Q4 2025), 10.65 (Q3 2025) and 11.49 (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.27 Bn | 34.56 Bn | 1.94 Bn |
| 2 | Bunge Global | 20.55 Bn | 18.06 Bn | 1.68 Bn |
| 3 | Tyson Foods | 17.78 Bn | 14.14 Bn | 921.00 Mn |
| 4 | Jbs | 12.53 Bn | -20.58 Bn | 2.59 Bn |
| 5 | Darling Ingredients | 9.59 Bn | 9.18 Bn | 503.37 Mn |
| 6 | Smithfield Foods | 7.37 Bn | 2.32 Bn | 478.00 Mn |
| 7 | Pilgrims Pride | 6.43 Bn | 4.26 Bn | 339.75 Mn |
| 8 | Ingredion | 6.05 Bn | 2.22 Bn | 426.00 Mn |
| 9 | Seaboard | 3.78 Bn | -1.04 Bn | 221.00 Mn |
| 10 | Esg | 27.27 Mn | 26.72 Mn | 363.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 6.97 |
| Dec 31, 2025 | 11.36 |
| Sep 30, 2025 | 10.65 |
| Jun 30, 2025 | 11.49 |
| Mar 31, 2025 | 14.96 |
| Dec 31, 2024 | 17.34 |
| Sep 30, 2024 | 13.76 |
| Jun 30, 2024 | 9.92 |
| Mar 31, 2024 | 1.11 |
| Dec 31, 2023 | 2.00 |
| Aug 31, 2023 | 334.65 |
API Access
Esg Price to Book 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=price-to-book&ticker=ESGH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ESGH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=ESGH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();