American Airlines (AAL) Price to Book (2014 - 2019)
American Airlines' Price to Book came in at 73.84 for Q3 2019.
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Analysis
American Airlines (AAL) Price to Book (2014 - 2019) Analysis & Trends
For FY2015, American Airlines' Price to Book was 4.69, down 74.6% from FY2014.
- Going back by year, Price to Book was 18.51 in FY2014.
- The Q3 2019 figure represents the highest quarterly Price to Book in data going back to Q1 2014.
- The fastest year-over-year change in Price to Book over five years came in Q2 2017 (growth of 87.3%), and the weakest in Q4 2015 (a decline of 74.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 176.70 Bn | 168.95 Bn | - |
| 2 | Csx | 93.70 Bn | 88.93 Bn | - |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | - |
| 4 | Canadian Pacific Kansas City | 81.52 Bn | 81.24 Bn | - |
| 5 | Fedex | 74.96 Bn | 41.16 Bn | - |
| 6 | Norfolk Southern | 73.93 Bn | 68.39 Bn | - |
| 7 | Delta Air Lines | 56.18 Bn | 38.36 Bn | - |
| 8 | United Airlines Holdings | 35.90 Bn | -21.80 Bn | - |
| 9 | Old Dominion Freight Line | 35.24 Bn | 34.09 Bn | - |
| 10 | American Airlines | 8.57 Bn | -16.61 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | 73.84 |
| Sep 30, 2017 | 5.77 |
| Jun 30, 2017 | 6.61 |
| Mar 31, 2017 | 6.07 |
| Sep 30, 2016 | 4.33 |
| Jun 30, 2016 | 3.53 |
| Mar 31, 2016 | 5.10 |
| Dec 31, 2015 | 4.69 |
| Sep 30, 2015 | 6.61 |
| Jun 30, 2015 | 7.45 |
| Mar 31, 2015 | 13.25 |
| Dec 31, 2014 | 18.51 |
| Sep 30, 2014 | 5.12 |
| Jun 30, 2014 | 7.58 |
| Mar 31, 2014 | 21.72 |
API Access
American Airlines Price to Book 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-book&ticker=AAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "AAL", "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-book&ticker=AAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();