Jetblue Airways (JBLU) Depreciation and Depletion (2009 - 2023)
Jetblue Airways (JBLU) recorded Depreciation and Depletion of $138 million in 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 and Depletion (2009 - 2023) Analysis & Trends
On a TTM basis, Jetblue Airways' Depreciation and Depletion came in at $548 million as of Sep 30, 2023, up 4.8% year-over-year; for FY2019, it was $474 million, up 12.1% from FY2018.
- Annual Depreciation and Depletion has increased for ten straight years, with a five-year compound annual growth rate of 12.5% (FY2014 to FY2019).
- Across earlier years, Depreciation and Depletion came in at $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%).
- Quarterly Depreciation and Depletion has ranged from $112 million in Q4 2018 to $139 million in Q2 2023 over the past five years.
- On a year-over-year basis, Depreciation and Depletion has increased for three consecutive quarters, with growth averaging 6.6% over the last six quarters.
- Peak year-over-year performance for Depreciation and Depletion in the last five years was growth of 13.2% in Q3 2019, against a decline of 7.9% in Q1 2021 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.79 Bn | 156.31 Bn | - | 638.00 Mn |
| 2 | Csx | 86.21 Bn | 82.43 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.26 Bn | 73.97 Bn | - | - |
| 4 | United Parcel Service | 70.36 Bn | 47.28 Bn | - | - |
| 5 | Norfolk Southern | 69.74 Bn | 64.38 Bn | - | 358.00 Mn |
| 6 | Fedex | 67.91 Bn | 33.85 Bn | - | - |
| 7 | Delta Air Lines | 55.33 Bn | 37.51 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.95 Bn | 36.21 Bn | - | - |
| 9 | United Airlines Holdings | 36.28 Bn | -20.09 Bn | - | - |
| 10 | Jetblue Airways | 1.56 Bn | -7.40 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 and Depletion 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-depletion&ticker=JBLU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=JBLU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();