Jetblue Airways (JBLU) EV to EBIT (2010 - 2023)
Jetblue Airways' (JBLU) EV to EBIT stood at 7.33 in Q2 2023.
Analysis
Jetblue Airways (JBLU) EV to EBIT (2010 - 2023) Analysis & Trends
On a TTM basis, Jetblue Airways' EV to EBIT came in at -21.36 as of Jun 30, 2023; for FY2019, it was 4.94, down 67.4% from FY2018.
- Across earlier years, EV to EBIT came in at 15.14 in FY2018 (+127.4%), 6.66 in FY2017 (+27.4%), 5.23 in FY2016 (-1.0%) and 5.28 in FY2015 (-35.4%).
- The Q2 2023 figure is the highest quarterly EV to EBIT since Q2 2019.
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, 2023 | 7.33 |
| Mar 31, 2020 | 1.58 |
| Dec 31, 2019 | 4.94 |
| Sep 30, 2019 | 4.85 |
| Jun 30, 2019 | 7.36 |
| Mar 31, 2019 | 18.57 |
| Dec 31, 2018 | 15.08 |
| Sep 30, 2018 | 20.61 |
| Jun 30, 2018 | 10.54 |
| Mar 31, 2018 | 5.78 |
| Dec 31, 2017 | 6.52 |
| Sep 30, 2017 | 4.67 |
| Jun 30, 2017 | 5.70 |
| Mar 31, 2017 | 5.28 |
| Dec 31, 2016 | 5.02 |
| Sep 30, 2016 | 3.07 |
| Jun 30, 2016 | 2.87 |
| Mar 31, 2016 | 4.20 |
| Dec 31, 2015 | 5.28 |
| Sep 30, 2015 | 6.62 |
API Access
Jetblue Airways EV to EBIT 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-ebit&ticker=JBLU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebit", "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-ebit&ticker=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();