Cleveland-Cliffs (CLF) Shares Outstanding (Entity) (2009 - 2026)
Cleveland-Cliffs (CLF) reported Shares Outstanding (Entity) of 570.53 million for Q2 2026, up 15.3% from 494.68 million a year earlier and unchanged from the prior quarter.
Cleveland-Cliffs (CLF) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Cleveland-Cliffs posted Shares Outstanding (Entity) of 569.76 million, up 15.3% from FY2024.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of 8.5% (FY2020 to FY2025).
- By year, Shares Outstanding (Entity) came in at 493.95 million in FY2024 (-2.2%), 504.89 million in FY2023 (-1.6%), 513.34 million in FY2022 (+2.6%) and 500.16 million in FY2021 (+32.0%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Entity) in data going back to Q2 2009.
- Year over year, Shares Outstanding (Entity) has now increased in each of the last six quarters, with growth averaging 6.5% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Entity) in five years was Q4 2021 (growth of 32.0%); the low point was Q2 2024 (a decline of 8.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 570.4 million (Q1 2026), 569.76 million (Q4 2025) and 494.7 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 834.33 Mn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 1.05 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 1.44 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | - |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 226.88 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | - |
| 10 | Cleveland-Cliffs | 7.81 Bn | 7.58 Bn | 132.00 Mn | 570.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 570.53 Mn |
| Mar 31, 2026 | 570.40 Mn |
| Dec 31, 2025 | 569.76 Mn |
| Sep 30, 2025 | 494.70 Mn |
| Jun 30, 2025 | 494.68 Mn |
| Mar 31, 2025 | 494.49 Mn |
| Dec 31, 2024 | 493.95 Mn |
| Sep 30, 2024 | 468.07 Mn |
| Jun 30, 2024 | 468.04 Mn |
| Mar 31, 2024 | 475.47 Mn |
| Dec 31, 2023 | 504.89 Mn |
| Sep 30, 2023 | 504.85 Mn |
| Jun 30, 2023 | 508.68 Mn |
| Mar 31, 2023 | 515.05 Mn |
| Dec 31, 2022 | 513.34 Mn |
| Sep 30, 2022 | 515.30 Mn |
| Jun 30, 2022 | 517.29 Mn |
| Mar 31, 2022 | 524.71 Mn |
| Dec 31, 2021 | 500.16 Mn |
| Sep 30, 2021 | 500.06 Mn |
Cleveland-Cliffs Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=CLF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=CLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();