American Airlines (AAL) Sales of Property, Plant and Equipment (2009 - 2022)
American Airlines' Sales of Property, Plant and Equipment came in at $24 million for Q4 2022, up 100.0% from $12 million a year earlier and up 33.3% from the prior quarter.
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Analysis
American Airlines (AAL) Sales of Property, Plant and Equipment (2009 - 2022) Analysis & Trends
For FY2022, American Airlines' Sales of Property, Plant and Equipment was $61 million, down 68.4% from FY2021.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of -41.0% (FY2017 to FY2022).
- Going back by year, Sales of Property, Plant and Equipment was $193 million in FY2021 (-45.0%), $351 million in FY2020 (+550.0%), $54 million in FY2019 (-51.4%) and $111 million in FY2018 (-87.0%).
- The Q4 2022 figure represents the highest quarterly Sales of Property, Plant and Equipment since Q2 2021.
- Year-over-year, Sales of Property, Plant and Equipment increased in two of the last eight quarters, with an average decline of 11.9%.
- The fastest year-over-year change in Sales of Property, Plant and Equipment over five years came in Q2 2020 (growth of 841.7%), and the weakest in Q1 2022 (a decline of 92.6%).
- Business Quant data shows AAL's Sales of Property, Plant and Equipment at $18 million (Q3 2022), $11 million (Q2 2022) and $8 million (Q1 2022) in the three quarters before Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 73.00 Mn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 2.89 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 15.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 116.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 24.00 Mn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.47 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 24.00 Mn |
| 10 | American Airlines | 8.57 Bn | -15.47 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 24.00 Mn |
| Sep 30, 2022 | 18.00 Mn |
| Jun 30, 2022 | 11.00 Mn |
| Mar 31, 2022 | 8.00 Mn |
| Dec 31, 2021 | 12.00 Mn |
| Sep 30, 2021 | 20.00 Mn |
| Jun 30, 2021 | 53.00 Mn |
| Mar 31, 2021 | 108.00 Mn |
| Dec 31, 2020 | 100.00 Mn |
| Sep 30, 2020 | 103.00 Mn |
| Jun 30, 2020 | 113.00 Mn |
| Mar 31, 2020 | 35.00 Mn |
| Dec 31, 2019 | 12.00 Mn |
| Sep 30, 2019 | 23.00 Mn |
| Jun 30, 2019 | 12.00 Mn |
| Mar 31, 2019 | 7.00 Mn |
| Mar 31, 2018 | 22.00 Mn |
| Mar 31, 2017 | 32.00 Mn |
| Dec 31, 2016 | 65.00 Mn |
| Sep 30, 2016 | 28.00 Mn |
API Access
American Airlines Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=AAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=AAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();