Lindblad Expeditions Holdings (LIND) Prepaid Assets (2013 - 2026)
Lindblad Expeditions Holdings (LIND) posted Prepaid Assets of $77.83 million for Q2 2026, up 3.5% from $75.19 million a year earlier and up 22.2% from the prior quarter.
Lindblad Expeditions Holdings (LIND) Prepaid Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Lindblad Expeditions Holdings' Prepaid Assets came in at $78.15 million, up 25.5% from FY2024.
- Annual Prepaid Assets has increased for five consecutive years, with a five-year compound annual growth rate of 35.6% (FY2020 to FY2025).
- In prior years, Lindblad Expeditions Holdings' Prepaid Assets was $62.29 million in FY2024 (+9.0%), $57.16 million in FY2023 (+6.4%), $53.7 million in FY2022 (+98.2%) and $27.09 million in FY2021 (+59.2%).
- Quarterly Prepaid Assets has run from a low of $27.08 million in Q3 2021 to a high of $78.15 million in Q4 2025 over five years.
- On a year-over-year basis, Prepaid Assets has increased in each of the last five quarters, with growth averaging 14.0% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q4 2022, with growth of 98.2%; the weakest was Q1 2025, with a decline of 2.9%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $63.67 million (Q1 2026), $78.15 million (Q4 2025) and $73.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marriott International | 92.75 Bn | 90.79 Bn | 1.55 Bn |
| 2 | Hilton Worldwide Holdings | 71.81 Bn | 68.29 Bn | 3.08 Bn |
| 3 | Royal Caribbean Cruises | 71.17 Bn | 68.75 Bn | 2.29 Bn |
| 4 | Viking Holdings | 35.31 Bn | 20.44 Bn | 996.62 Mn |
| 5 | Carnival | 33.05 Bn | 26.25 Bn | - |
| 6 | Intercontinental Hotels | 26.49 Bn | 22.05 Bn | - |
| 7 | Trip.com | 25.40 Bn | -20.15 Bn | 1.84 Bn |
| 8 | Hyatt Hotels | 14.95 Bn | 12.43 Bn | 388.00 Mn |
| 9 | H World | 13.15 Bn | 4.07 Bn | - |
| 10 | Lindblad Expeditions Holdings | 2.06 Bn | 980.15 Mn | 96.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 77.83 Mn |
| Mar 31, 2026 | 63.67 Mn |
| Dec 31, 2025 | 78.15 Mn |
| Sep 30, 2025 | 73.66 Mn |
| Jun 30, 2025 | 75.19 Mn |
| Mar 31, 2025 | 60.61 Mn |
| Dec 31, 2024 | 62.29 Mn |
| Sep 30, 2024 | 63.28 Mn |
| Jun 30, 2024 | 65.90 Mn |
| Mar 31, 2024 | 62.39 Mn |
| Dec 31, 2023 | 57.16 Mn |
| Sep 30, 2023 | 44.72 Mn |
| Jun 30, 2023 | 52.40 Mn |
| Mar 31, 2023 | 44.10 Mn |
| Dec 31, 2022 | 53.70 Mn |
| Sep 30, 2022 | 45.25 Mn |
| Jun 30, 2022 | 45.94 Mn |
| Mar 31, 2022 | 32.11 Mn |
| Dec 31, 2021 | 27.09 Mn |
| Sep 30, 2021 | 27.08 Mn |
Lindblad Expeditions Holdings Prepaid Assets 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=prepaid-assets&ticker=LIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "ticker": "LIND", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=prepaid-assets&ticker=LIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();