Cadeler A (CDLR) Capital Expenditures (2023 - 2026)
Cadeler A (CDLR) reported Capital Expenditures of -$106.51 million for the quarter ended Mar 31, 2026, compared with -$490.41 million a year earlier.
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Analysis
Cadeler A (CDLR) Capital Expenditures (2023 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Cadeler A's Capital Expenditures came in at -$2.27 billion; for the year ended Dec 31, 2025, it came in at -$1.44 billion.
- By year, Capital Expenditures came in at -$657.77 million in the year ended Dec 31, 2024, -$72.37 million in the year ended Dec 31, 2023, -$236.72 trillion in the year ended Dec 31, 2022 and -$192.82 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 ranks as the highest quarterly Capital Expenditures since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 175.39 Bn | 169.91 Bn | - | 873.00 Mn |
| 2 | Csx | 95.83 Bn | 92.04 Bn | - | 576.00 Mn |
| 3 | United Parcel Service | 85.96 Bn | 62.85 Bn | - | 693.00 Mn |
| 4 | Canadian Pacific Kansas City | 80.58 Bn | 79.60 Bn | - | 547.98 Mn |
| 5 | Norfolk Southern | 75.25 Bn | 69.89 Bn | - | 439.00 Mn |
| 6 | Fedex | 71.23 Bn | 37.18 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 51.44 Bn | 33.62 Bn | - | 1.41 Bn |
| 8 | Old Dominion Freight Line | 39.96 Bn | 39.22 Bn | - | 77.04 Mn |
| 9 | United Airlines Holdings | 33.13 Bn | -23.24 Bn | - | 1.34 Bn |
| 10 | Cadeler A | 2.19 Bn | 1.46 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -106.51 Mn |
| Jun 30, 2025 | 1.29 Bn |
| Mar 31, 2025 | -490.41 Mn |
| Jun 30, 2024 | 428.62 Mn |
| Mar 31, 2024 | -110.66 Mn |
| Jun 30, 2023 | 24.51 Mn |
| Mar 31, 2023 | -8.53 Mn |
API Access
Cadeler A Capital Expenditures 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=capital-expenditures&ticker=CDLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "CDLR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=CDLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();