Jetblue Airways (JBLU) Depreciation & Amortization - Total (2009 - 2023)
Jetblue Airways' Depreciation & Amortization - Total came in at $138 million for Q3 2023, up 3.0% from $134 million a year earlier but down 0.7% from the prior quarter.
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Analysis
Jetblue Airways (JBLU) Depreciation & Amortization - Total (2009 - 2023) Analysis & Trends
Over the trailing twelve months to Sep 30, 2023, Jetblue Airways reported Depreciation & Amortization - Total of $548 million, up 4.8% year-over-year; for FY2019, it came in at $474 million, up 12.1% from FY2018.
- Depreciation & Amortization - Total has increased in each of the last ten years, with a five-year compound annual growth rate of 12.5% (FY2014 to FY2019).
- Going back by year, Depreciation & Amortization - Total was $423 million in FY2018 (+10.4%), $383 million in FY2017 (+13.6%), $337 million in FY2016 (+17.0%) and $288 million in FY2015 (+9.5%).
- The five-year range for quarterly Depreciation & Amortization - Total is $112 million (Q4 2018) to $139 million (Q2 2023).
- Year-over-year, Depreciation & Amortization - Total has increased for three consecutive quarters, with growth averaging 6.6% over the last six quarters.
- The fastest year-over-year change in Depreciation & Amortization - Total over five years came in Q3 2019 (growth of 13.2%), and the weakest in Q1 2021 (a decline of 7.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 638.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 358.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 484.82 Mn |
| 10 | Jetblue Airways | 1.59 Bn | -7.37 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 138.00 Mn |
| Jun 30, 2023 | 139.00 Mn |
| Mar 31, 2023 | 137.00 Mn |
| Sep 30, 2022 | 134.00 Mn |
| Jun 30, 2022 | 132.00 Mn |
| Mar 31, 2022 | 130.00 Mn |
| Sep 30, 2021 | 127.00 Mn |
| Jun 30, 2021 | 121.00 Mn |
| Mar 31, 2021 | 117.00 Mn |
| Sep 30, 2020 | 119.00 Mn |
| Jun 30, 2020 | 128.00 Mn |
| Mar 31, 2020 | 127.00 Mn |
| Dec 31, 2019 | 125.00 Mn |
| Sep 30, 2019 | 120.00 Mn |
| Jun 30, 2019 | 116.00 Mn |
| Mar 31, 2019 | 113.00 Mn |
| Dec 31, 2018 | 112.00 Mn |
| Sep 30, 2018 | 106.00 Mn |
| Jun 30, 2018 | 104.00 Mn |
| Mar 31, 2018 | 101.00 Mn |
API Access
Jetblue Airways Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=JBLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();