Cleveland-Cliffs (CLF) Exchange Rate Effect (2009 - 2026)
Cleveland-Cliffs' Exchange Rate Effect was -$1 million in Q2 2026, compared with $3 million a year earlier.
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Analysis
Cleveland-Cliffs (CLF) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cleveland-Cliffs' Exchange Rate Effect was -$2 million through Jun 30, 2026; for FY2025, it came in at $2 million.
- In earlier years, Exchange Rate Effect was -$1 million in FY2024.
- Quarterly Exchange Rate Effect has moved between -$1 million (Q4 2024) and $3 million (Q2 2025) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | -2.70 Mn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | -17.00 Mn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -726,000.00 |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | - |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | -1.73 Mn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | - |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | -6.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -35.00 Mn |
| 10 | Cleveland-Cliffs | 6.40 Bn | 6.38 Bn | 132.00 Mn | -1.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.00 Mn |
| Dec 31, 2025 | -1.00 Mn |
| Jun 30, 2025 | 3.00 Mn |
| Dec 31, 2024 | -1.00 Mn |
| Dec 31, 2018 | 300,000.00 |
| Sep 30, 2018 | -1.30 Mn |
| Jun 30, 2018 | -1.20 Mn |
| Mar 31, 2018 | 200,000.00 |
| Dec 31, 2017 | -400,000.00 |
| Sep 30, 2017 | 1.30 Mn |
| Jun 30, 2017 | 1.00 Mn |
| Mar 31, 2017 | 1.40 Mn |
| Dec 31, 2016 | -900,000.00 |
| Sep 30, 2016 | 1.30 Mn |
| Jun 30, 2016 | -400,000.00 |
| Mar 31, 2016 | -500,000.00 |
| Dec 31, 2015 | 800,000.00 |
| Sep 30, 2015 | -1.30 Mn |
| Jun 30, 2015 | 400,000.00 |
| Mar 31, 2015 | -1.30 Mn |
API Access
Cleveland-Cliffs 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=CLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CLF", "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=CLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();