Jetblue Airways (JBLU) EV to EBITDA (2010 - 2026)
Jetblue Airways' EV to EBITDA came in at 0.96 for Q2 2026, compared with -3.16 a year earlier.
Analysis
Jetblue Airways (JBLU) EV to EBITDA (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jetblue Airways reported EV to EBITDA of -46.64; for FY2025, it came in at -1.49.
- Going back by year, EV to EBITDA was 0.80 in FY2023 (-68.2%), 2.53 in FY2022 (-32.1%) and 3.73 in FY2021.
- The Q2 2026 figure represents the highest quarterly EV to EBITDA since Q2 2023.
- Business Quant data shows JBLU's EV to EBITDA at -1.87 (Q1 2026), -1.49 (Q4 2025) and -1.94 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn |
| 10 | Jetblue Airways | 1.59 Bn | -7.38 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.96 |
| Mar 31, 2026 | -1.87 |
| Dec 31, 2025 | -1.49 |
| Sep 30, 2025 | -1.94 |
| Jun 30, 2025 | -3.16 |
| Mar 31, 2025 | -3.41 |
| Dec 31, 2023 | 0.72 |
| Sep 30, 2023 | 0.28 |
| Jun 30, 2023 | 1.59 |
| Mar 31, 2023 | 1.96 |
| Dec 31, 2022 | 2.53 |
| Sep 30, 2022 | 0.47 |
| Jun 30, 2022 | 1.45 |
| Mar 31, 2022 | 4.98 |
| Dec 31, 2021 | 3.73 |
| Sep 30, 2021 | 14.14 |
| Jun 30, 2020 | 0.23 |
| Mar 31, 2020 | 0.66 |
| Dec 31, 2019 | 2.98 |
| Sep 30, 2019 | 2.95 |
API Access
Jetblue Airways EV to EBITDA 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=ev-to-ebitda&ticker=JBLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "JBLU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();