Allegiant Travel (ALGT) Price to Earnings (2011 - 2026)
Allegiant Travel's Price to Earnings came in at 123.72 for Q2 2026.
Analysis
Allegiant Travel (ALGT) Price to Earnings (2011 - 2026) Analysis & Trends
For FY2023, Allegiant Travel's Price to Earnings was 12.85, down 97.4% from FY2022.
- Going back by year, Price to Earnings was 494.22 in FY2022, 22.31 in FY2021 and 12.22 in FY2019 (+21.9%).
- The Q2 2026 figure represents the highest quarterly Price to Earnings since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - |
| 10 | Allegiant Travel | 2.12 Bn | -1.60 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 123.72 |
| Mar 31, 2024 | 22.65 |
| Dec 31, 2023 | 12.85 |
| Sep 30, 2023 | 8.22 |
| Jun 30, 2023 | 15.46 |
| Mar 31, 2023 | 25.48 |
| Dec 31, 2022 | 494.22 |
| Jun 30, 2022 | 44.28 |
| Mar 31, 2022 | 21.46 |
| Dec 31, 2021 | 22.31 |
| Sep 30, 2021 | 31.48 |
| Jun 30, 2021 | 79.46 |
| Mar 31, 2020 | 9.33 |
| Dec 31, 2019 | 12.22 |
| Sep 30, 2019 | 11.44 |
| Jun 30, 2019 | 12.70 |
| Mar 31, 2019 | 12.88 |
| Dec 31, 2018 | 10.02 |
| Sep 30, 2018 | 10.06 |
| Jun 30, 2018 | 10.60 |
API Access
Allegiant Travel Price to Earnings 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-earnings&ticker=ALGT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=ALGT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();