Cosan (CSANY) Exchange Rate Effect (2023 - 2026)
Cosan (CSANY) recorded Exchange Rate Effect of -$3.03 million in Q2 2026, compared with -$10.17 million a year earlier.
Cosan (CSANY) Exchange Rate Effect (2023 - 2026) Analysis & Trends
On a TTM basis, Cosan's Exchange Rate Effect came in at -$42.77 million as of Jun 30, 2026; for FY2025, it came in at -$47.97 million.
- Across earlier years, Exchange Rate Effect came in at $48.13 million in FY2024, -$20.04 million in FY2023, -$78.46 million in FY2022 and $94.98 million in FY2021 (+46.3%).
- Quarterly Exchange Rate Effect has ranged from -$76.86 million in Q4 2022 to $6.21 million in Q4 2025 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$39.09 million (Q1 2026), $6.21 million (Q4 2025) and -$6.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 744.22 Bn | 700.71 Bn | - | -118.00 Mn |
| 2 | Chevron | 442.27 Bn | 414.39 Bn | 33.45 Bn | -18.00 Mn |
| 3 | Shell | 308.83 Bn | 238.57 Bn | 30.13 Bn | -101.00 Mn |
| 4 | TotalEnergies SE | 197.25 Bn | 77.83 Bn | 61.77 Bn | -329.00 Mn |
| 5 | Conocophillips | 176.36 Bn | 149.07 Bn | 12.81 Bn | -34.00 Mn |
| 6 | Equinor Asa | 119.62 Bn | 34.07 Bn | - | 14.00 Mn |
| 7 | Phillips 66 | 116.49 Bn | 104.28 Bn | 8.38 Bn | -25.00 Mn |
| 8 | Canadian Natural Resources | 113.27 Bn | 110.27 Bn | 8.84 Bn | - |
| 9 | Suncor Energy | 95.51 Bn | 81.26 Bn | - | 36.00 Mn |
| 10 | Cosan | 2.49 Bn | -8.55 Bn | 796.01 Mn | -3.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.03 Mn |
| Mar 31, 2026 | -39.09 Mn |
| Dec 31, 2025 | 6.21 Mn |
| Sep 30, 2025 | -6.87 Mn |
| Jun 30, 2025 | -10.17 Mn |
| Mar 31, 2025 | -33.65 Mn |
| Mar 31, 2024 | 9.21 Mn |
| Sep 30, 2023 | -13.47 Mn |
| Jun 30, 2023 | -19.97 Mn |
Cosan 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=CSANY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CSANY", "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=CSANY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();