Norwegian Cruise Line Holdings (NCLH) Selling, General & Administrative (2012 - 2026)
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Analysis
Norwegian Cruise Line Holdings (NCLH) Selling, General & Administrative (2012 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Marriott International | 108.57 Bn | 106.84 Bn | 1.54 Bn | 214.00 Mn |
| 2 | Royal Caribbean Cruises | 87.25 Bn | 84.19 Bn | 2.88 Bn | 519.00 Mn |
| 3 | Hilton Worldwide Holdings | 83.02 Bn | 79.75 Bn | 3.05 Bn | 110.00 Mn |
| 4 | Carnival | 40.37 Bn | 33.56 Bn | - | 834.00 Mn |
| 5 | Viking Holdings | 38.85 Bn | 23.97 Bn | 996.62 Mn | 268.67 Mn |
| 6 | Trip.com | 29.18 Bn | -15.85 Bn | 1.84 Bn | 933.00 Mn |
| 7 | Intercontinental Hotels | 27.60 Bn | 23.56 Bn | - | - |
| 8 | Hyatt Hotels | 17.33 Bn | 14.74 Bn | 384.00 Mn | 102.00 Mn |
| 9 | H World | 15.68 Bn | 7.08 Bn | 456.00 Mn | 102.00 Mn |
| 10 | Norwegian Cruise Line Holdings | 8.24 Bn | 7.37 Bn | 1.28 Bn | 367.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 367.12 Mn |
| Jun 30, 2026 | 419.20 Mn |
| Mar 31, 2026 | 459.68 Mn |
| Dec 31, 2025 | 381.37 Mn |
| Sep 30, 2025 | 383.00 Mn |
| Jun 30, 2025 | 393.05 Mn |
| Mar 31, 2025 | 391.38 Mn |
| Dec 31, 2024 | 360.57 Mn |
| Sep 30, 2024 | 358.00 Mn |
| Jun 30, 2024 | 353.77 Mn |
| Mar 31, 2024 | 362.47 Mn |
| Dec 31, 2023 | 328.26 Mn |
| Sep 30, 2023 | 325.37 Mn |
| Jun 30, 2023 | 352.22 Mn |
| Mar 31, 2023 | 336.01 Mn |
| Dec 31, 2022 | 378.53 Mn |
| Sep 30, 2022 | 375.29 Mn |
| Jun 30, 2022 | 329.08 Mn |
| Mar 31, 2022 | 296.21 Mn |
| Dec 31, 2021 | 273.63 Mn |
API Access
Norwegian Cruise Line Holdings Selling, General & Administrative 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=selling-general-and-administrative&ticker=NCLH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "NCLH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=NCLH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();