Cleveland-Cliffs (CLF) Accumulated Expenses (2009 - 2026)
Cleveland-Cliffs (CLF) recorded Accumulated Expenses of $378 million in Q2 2026, up 8.6% from $348 million a year earlier and up 9.2% from the prior quarter.
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Analysis
Cleveland-Cliffs (CLF) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Cleveland-Cliffs reported Accumulated Expenses of $396 million, up 5.6% from FY2024.
- Annual Accumulated Expenses has a three-year compound annual growth rate of 1.1% (FY2022 to FY2025).
- Across earlier years, Accumulated Expenses came in at $375 million in FY2024 (-1.3%), $380 million in FY2023 (-0.8%) and $383 million in FY2022.
- Quarterly Accumulated Expenses has ranged from $261 million in Q2 2023 to $396 million in Q4 2025 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in five of the last eight quarters, with growth averaging 9.2%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 44.1% in Q3 2024, against a decline of 10.6% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $346 million (Q1 2026), $396 million (Q4 2025) and $339 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - |
| 10 | Cleveland-Cliffs | 8.04 Bn | 7.79 Bn | 465.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 310.00 Mn |
| Jun 30, 2026 | 378.00 Mn |
| Mar 31, 2026 | 346.00 Mn |
| Dec 31, 2025 | 396.00 Mn |
| Sep 30, 2025 | 339.00 Mn |
| Jun 30, 2025 | 348.00 Mn |
| Mar 31, 2025 | 361.00 Mn |
| Dec 31, 2024 | 375.00 Mn |
| Sep 30, 2024 | 379.00 Mn |
| Jun 30, 2024 | 296.00 Mn |
| Mar 31, 2024 | 318.00 Mn |
| Dec 31, 2023 | 380.00 Mn |
| Sep 30, 2023 | 263.00 Mn |
| Jun 30, 2023 | 261.00 Mn |
| Mar 31, 2023 | 271.00 Mn |
| Dec 31, 2022 | 383.00 Mn |
| Sep 30, 2020 | 279.40 Mn |
| Jun 30, 2020 | 288.30 Mn |
| Mar 31, 2020 | 299.80 Mn |
| Dec 31, 2019 | 126.30 Mn |
API Access
Cleveland-Cliffs Accumulated Expenses 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=accumulated-expenses&ticker=CLF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=CLF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();