Jetblue Airways (JBLU) Price to Earnings (2010 - 2023)
Jetblue Airways' (JBLU) Price to Earnings was 109.27 for Q2 2023.
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Analysis
Jetblue Airways (JBLU) Price to Earnings (2010 - 2023) Analysis & Trends
For FY2019, Price to Earnings at Jetblue Airways was 9.28, down 64.3% from FY2018.
- By year, Price to Earnings came in at 26.00 in FY2018 (+313.4%), 6.29 in FY2017 (-39.5%), 10.39 in FY2016 (-3.5%) and 10.77 in FY2015 (-12.1%).
- The Q2 2023 figure ranks as the highest quarterly Price to Earnings in data going back to Q1 2010.
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 | Jetblue Airways | 1.56 Bn | -7.40 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 109.27 |
| Mar 31, 2020 | 9.33 |
| Dec 31, 2019 | 9.28 |
| Sep 30, 2019 | 8.35 |
| Jun 30, 2019 | 12.41 |
| Mar 31, 2019 | 34.92 |
| Dec 31, 2018 | 26.00 |
| Sep 30, 2018 | 8.55 |
| Jun 30, 2018 | 7.23 |
| Mar 31, 2018 | 5.58 |
| Dec 31, 2017 | 6.28 |
| Sep 30, 2017 | 9.27 |
| Jun 30, 2017 | 11.38 |
| Mar 31, 2017 | 10.86 |
| Dec 31, 2016 | 9.95 |
| Sep 30, 2016 | 7.19 |
| Jun 30, 2016 | 6.91 |
| Mar 31, 2016 | 9.10 |
| Dec 31, 2015 | 10.77 |
| Sep 30, 2015 | 14.12 |
API Access
Jetblue Airways 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=JBLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();