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.
Powered by 
Analysis
Cleveland-Cliffs (CLF) Exchange Rate Effect (2009 - 2026) Analysis & Trends
For FY2025, Exchange Rate Effect at Cleveland-Cliffs 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 | 166.15 Bn | 128.95 Bn | - | - |
| 2 | Southern Copper | 145.61 Bn | 120.34 Bn | 3.10 Bn | -54.80 Mn |
| 3 | Rio Tinto | 138.54 Bn | 138.54 Bn | - | - |
| 4 | Newmont | 127.15 Bn | 92.29 Bn | 4.22 Bn | -10.00 Mn |
| 5 | Ternium | 100.63 Bn | 93.91 Bn | - | - |
| 6 | Agnico Eagle Mines | 97.48 Bn | 92.69 Bn | - | - |
| 7 | Freeport-Mcmoran | 88.12 Bn | 72.16 Bn | 2.19 Bn | - |
| 8 | Barrick Mining | 69.35 Bn | 47.84 Bn | 2.90 Bn | - |
| 9 | Nucor | 59.10 Bn | 48.48 Bn | 2.03 Bn | -6.00 Mn |
| 10 | Cleveland-Cliffs | 7.45 Bn | 7.20 Bn | 465.00 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();