Esg (ESGH) Exchange Rate Effect (2023 - 2026)
Esg (ESGH) recorded Exchange Rate Effect of -$657,611 in Q2 2026, compared with $53,058 a year earlier.
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Analysis
Esg (ESGH) Exchange Rate Effect (2023 - 2026) Analysis & Trends
On a TTM basis, Esg's Exchange Rate Effect came in at -$1.28 million as of Jun 30, 2026; for FY2025, it came in at -$898,667.
- Across earlier years, Exchange Rate Effect came in at -$5,688 in FY2024 and $360,141 in FY2023.
- Quarterly Exchange Rate Effect has ranged from -$1.3 million in Q4 2025 to $665,621 in Q4 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at $635,180 (Q1 2026), -$1.3 million (Q4 2025) and $36,979 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Archer-Daniels-Midland | 38.74 Bn | 35.03 Bn | 1.94 Bn | 8.00 Mn |
| 2 | Bunge Global | 20.95 Bn | 18.46 Bn | 1.68 Bn | 1.00 Mn |
| 3 | Tyson Foods | 17.92 Bn | 14.28 Bn | 921.00 Mn | - |
| 4 | Jbs | 12.87 Bn | -20.24 Bn | 2.59 Bn | 9.40 Mn |
| 5 | Darling Ingredients | 9.56 Bn | 9.16 Bn | 503.37 Mn | 10,000.00 |
| 6 | Smithfield Foods | 7.54 Bn | 2.49 Bn | 478.00 Mn | 7.00 Mn |
| 7 | Pilgrims Pride | 6.69 Bn | 4.52 Bn | 339.75 Mn | 615,000.00 |
| 8 | Ingredion | 6.08 Bn | 2.26 Bn | 426.00 Mn | -1.00 Mn |
| 9 | Seaboard | 3.94 Bn | -881.67 Mn | 221.00 Mn | 1.00 Mn |
| 10 | Esg | 43.64 Mn | 43.08 Mn | 363.00 | -657,611.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -657,611.00 |
| Mar 31, 2026 | 635,180.00 |
| Dec 31, 2025 | -1.30 Mn |
| Sep 30, 2025 | 36,979.00 |
| Jun 30, 2025 | 53,058.00 |
| Mar 31, 2025 | 307,851.00 |
| Dec 31, 2024 | 414,741.00 |
| Sep 30, 2024 | -517,797.00 |
| Jun 30, 2024 | -159,925.00 |
| Mar 31, 2024 | 257,293.00 |
| Dec 31, 2023 | 665,621.00 |
API Access
Esg Exchange Rate Effect 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=exchange-rate-effect&ticker=ESGH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=ESGH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();