Cadeler A (CDLR) Price to Book (2023 - 2026)
Cadeler A's (CDLR) Price to Book was 0.93 for the quarter ended Jun 30, 2026, down 17.0% from 1.12 a year earlier and down 11.1% from the prior quarter.
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Analysis
Cadeler A (CDLR) Price to Book (2023 - 2026) Analysis & Trends
Dating back to the quarter ended Dec 31, 2023, Cadeler A's Price to Book record includes 10 quarters.
- By year, Price to Book came in at 1.49 in the year ended Dec 31, 2024 (+66.4%) and 0.89 in the year ended Dec 31, 2023.
- Five-year quarterly Price to Book spans a low of 0.75 in the quarter ended Mar 31, 2024 and a high of 1.49 in the quarter ended Dec 31, 2024.
- Year over year, Price to Book has now declined in each of the last three quarters, with growth averaging 12.9% over the last six quarters.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.65 Bn | 165.18 Bn | - |
| 2 | Csx | 89.70 Bn | 85.91 Bn | - |
| 3 | United Parcel Service | 84.71 Bn | 61.60 Bn | - |
| 4 | Canadian Pacific Kansas City | 78.00 Bn | 77.02 Bn | - |
| 5 | Norfolk Southern | 73.24 Bn | 67.88 Bn | - |
| 6 | Fedex | 70.67 Bn | 36.62 Bn | - |
| 7 | Delta Air Lines | 50.97 Bn | 33.15 Bn | - |
| 8 | Old Dominion Freight Line | 39.24 Bn | 38.51 Bn | - |
| 9 | United Airlines Holdings | 32.98 Bn | -23.39 Bn | - |
| 10 | Cadeler A | 2.19 Bn | 1.46 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.95 |
| Mar 31, 2026 | 1.07 |
| Dec 31, 2025 | 0.92 |
| Jun 30, 2025 | 1.08 |
| Mar 31, 2025 | 1.30 |
| Dec 31, 2024 | 1.53 |
| Sep 30, 2024 | 1.73 |
| Jun 30, 2024 | 1.58 |
| Mar 31, 2024 | 1.17 |
| Dec 31, 2023 | 1.35 |
API Access
Cadeler A Price to Book 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=price-to-book&ticker=CDLR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=CDLR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();