Allegiant Travel (ALGT) Operating Expenses (2010 - 2026)
Allegiant Travel (ALGT) recorded Operating Expenses of $922.38 million in Q2 2026, up 21.9% from $756.87 million a year earlier and up 41.6% from the prior quarter.
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Analysis
Allegiant Travel (ALGT) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Allegiant Travel's Operating Expenses came in at $2.75 billion as of Jun 30, 2026, down 4.1% year-over-year; for FY2025, it came in at $2.57 billion, down 6.7% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $2.75 billion in FY2024 (+20.3%), $2.29 billion in FY2023 (+3.6%), $2.21 billion in FY2022 (+53.0%) and $1.44 billion in FY2021 (+13.7%).
- The Q2 2026 figure is the highest quarterly Operating Expenses in data going back to Q2 2010.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 7.4%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 93.6% in Q1 2022, against a decline of 33.9% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $651.33 million (Q1 2026), $589.35 million (Q4 2025) and $589.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 4.10 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 2.34 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Allegiant Travel | 2.07 Bn | -1.65 Bn | - | 922.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 922.38 Mn |
| Mar 31, 2026 | 651.33 Mn |
| Dec 31, 2025 | 589.35 Mn |
| Sep 30, 2025 | 589.12 Mn |
| Jun 30, 2025 | 756.87 Mn |
| Mar 31, 2025 | 634.07 Mn |
| Dec 31, 2024 | 891.68 Mn |
| Sep 30, 2024 | 588.54 Mn |
| Jun 30, 2024 | 631.39 Mn |
| Mar 31, 2024 | 640.96 Mn |
| Dec 31, 2023 | 600.39 Mn |
| Sep 30, 2023 | 583.24 Mn |
| Jun 30, 2023 | 550.38 Mn |
| Mar 31, 2023 | 554.86 Mn |
| Dec 31, 2022 | 522.35 Mn |
| Sep 30, 2022 | 591.24 Mn |
| Jun 30, 2022 | 603.72 Mn |
| Mar 31, 2022 | 492.88 Mn |
| Dec 31, 2021 | 463.55 Mn |
| Sep 30, 2021 | 393.18 Mn |
API Access
Allegiant Travel 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=ALGT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ALGT", "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=ALGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();