Lindblad Expeditions Holdings (LIND) Operating Expenses (2012 - 2026)
Lindblad Expeditions Holdings' Operating Expenses was $187.29 million in Q2 2026, up 14.5% from $163.54 million a year earlier but down 2.7% from the prior quarter.
Lindblad Expeditions Holdings (LIND) Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lindblad Expeditions Holdings' Operating Expenses was $772.58 million through Jun 30, 2026, up 16.1% year-over-year; for FY2025, it was $725.53 million, up 16.4% from FY2024.
- Operating Expenses has now increased for five consecutive years, with a five-year compound annual growth rate of 33.6% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $623.17 million in FY2024 (+11.5%), $558.94 million in FY2023 (+15.4%), $484.55 million in FY2022 (+87.9%) and $257.94 million in FY2021 (+51.1%).
- Quarterly Operating Expenses has moved between $82.16 million (Q3 2021) and $204.2 million (Q3 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for 21 straight quarters, with growth averaging 14.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 4.5% (Q4 2023) to 222.8% (Q4 2021).
- Per Business Quant data, LIND's Operating Expenses in the three quarters before Q2 2026 was $192.4 million (Q1 2026), $188.69 million (Q4 2025) and $204.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Marriott International | 93.50 Bn | 91.55 Bn | 1.55 Bn | 5.84 Bn |
| 2 | Hilton Worldwide Holdings | 72.30 Bn | 68.78 Bn | 3.08 Bn | 2.48 Bn |
| 3 | Royal Caribbean Cruises | 64.91 Bn | 62.49 Bn | 2.29 Bn | 513.00 Mn |
| 4 | Viking Holdings | 35.75 Bn | 20.87 Bn | 996.62 Mn | -268.67 Mn |
| 5 | Carnival | 30.35 Bn | 23.01 Bn | - | 4.23 Bn |
| 6 | Intercontinental Hotels | 26.52 Bn | 22.08 Bn | - | - |
| 7 | Trip.com | 25.92 Bn | -19.63 Bn | 1.84 Bn | -1.49 Bn |
| 8 | Hyatt Hotels | 15.20 Bn | 12.68 Bn | 388.00 Mn | 1.70 Bn |
| 9 | H World | 13.30 Bn | 4.22 Bn | - | -753.00 Mn |
| 10 | Lindblad Expeditions Holdings | 1.94 Bn | 862.88 Mn | 96.64 Mn | 187.29 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.29 Mn |
| Mar 31, 2026 | 192.40 Mn |
| Dec 31, 2025 | 188.69 Mn |
| Sep 30, 2025 | 204.20 Mn |
| Jun 30, 2025 | 163.54 Mn |
| Mar 31, 2025 | 169.11 Mn |
| Dec 31, 2024 | 156.18 Mn |
| Sep 30, 2024 | 176.52 Mn |
| Jun 30, 2024 | 144.71 Mn |
| Mar 31, 2024 | 145.76 Mn |
| Dec 31, 2023 | 139.21 Mn |
| Sep 30, 2023 | 155.51 Mn |
| Jun 30, 2023 | 133.30 Mn |
| Mar 31, 2023 | 130.93 Mn |
| Dec 31, 2022 | 133.26 Mn |
| Sep 30, 2022 | 138.98 Mn |
| Jun 30, 2022 | 110.22 Mn |
| Mar 31, 2022 | 102.09 Mn |
| Dec 31, 2021 | 95.08 Mn |
| Sep 30, 2021 | 82.16 Mn |
Lindblad Expeditions Holdings Operating Expenses 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=operating-expenses&ticker=LIND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();