Cadeler A (CDLR) Change in Inventory (2023 - 2026)
Cadeler A (CDLR) reported Change in Inventory of -$285,662 for the quarter ended Mar 31, 2026, compared with -$2.67 million a year earlier.
Cadeler A (CDLR) Change in Inventory (2023 - 2026) Analysis & Trends
Over the twelve months ended Mar 31, 2026, Cadeler A's Change in Inventory came in at -$493,537; for the year ended Dec 31, 2024, it was $842,053.
- By year, Change in Inventory came in at -$1.23 million in the year ended Dec 31, 2023, -$114,881 in the year ended Dec 31, 2022 and -$151,475 in the year ended Dec 31, 2021.
- Five-year quarterly Change in Inventory spans a low of -$2.67 million in the quarter ended Mar 31, 2025 and a high of $1.48 million in the quarter ended Jun 30, 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.82 Bn | 165.35 Bn | - | 81.00 Mn |
| 2 | Csx | 89.35 Bn | 85.55 Bn | - | - |
| 3 | United Parcel Service | 83.96 Bn | 60.85 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 77.33 Bn | 76.34 Bn | - | - |
| 5 | Norfolk Southern | 73.29 Bn | 67.93 Bn | - | 15.00 Mn |
| 6 | Fedex | 71.06 Bn | 37.00 Bn | - | - |
| 7 | Delta Air Lines | 50.31 Bn | 32.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 39.13 Bn | 38.39 Bn | - | - |
| 9 | United Airlines Holdings | 31.79 Bn | -24.58 Bn | - | - |
| 10 | Cadeler A | 1.99 Bn | 1.26 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -285,661.94 |
| Jun 30, 2025 | 4.27 Mn |
| Mar 31, 2025 | -2.67 Mn |
| Jun 30, 2024 | -925,046.43 |
| Mar 31, 2024 | -28,245.41 |
| Jun 30, 2023 | -57,712.99 |
| Mar 31, 2023 | -2,146.68 |
Cadeler A Change in Inventory 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=change-in-inventory&ticker=CDLR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=CDLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();