Alaska Air (ALK) Capital Expenditures (2009 - 2026)
Alaska Air (ALK) recorded Capital Expenditures of $78 million in Q2 2026, down 9.3% from $86 million a year earlier but up 160.0% from the prior quarter.
Alaska Air (ALK) Capital Expenditures (2009 - 2026) Analysis & Trends
On a TTM basis, Alaska Air's Capital Expenditures came in at $289 million as of Jun 30, 2026, up 4.3% year-over-year; for FY2025, it was $309 million, up 5.5% from FY2024.
- Annual Capital Expenditures has increased for three straight years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $293 million in FY2024 (+21.1%), $242 million in FY2023 (+16.3%), $208 million in FY2022 (-28.8%) and $292 million in FY2021 (+31.5%).
- Quarterly Capital Expenditures has ranged from -$739 million in Q4 2022 to $344 million in Q2 2022 over the past five years.
- On a year-over-year basis, Capital Expenditures has declined for three consecutive quarters, with growth averaging 3.5% over the last eight quarters.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 966.7% in Q1 2022, against a decline of 82.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $30 million (Q1 2026), $90 million (Q4 2025) and $91 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 873.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 547.98 Mn |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 439.00 Mn |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 693.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 77.04 Mn |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 1.34 Bn |
| 10 | Alaska Air | 4.41 Bn | -3.41 Bn | - | 78.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.00 Mn |
| Mar 31, 2026 | 30.00 Mn |
| Dec 31, 2025 | 90.00 Mn |
| Sep 30, 2025 | 91.00 Mn |
| Jun 30, 2025 | 86.00 Mn |
| Mar 31, 2025 | 42.00 Mn |
| Dec 31, 2024 | 91.00 Mn |
| Sep 30, 2024 | 58.00 Mn |
| Jun 30, 2024 | 100.00 Mn |
| Mar 31, 2024 | 44.00 Mn |
| Dec 31, 2023 | 73.00 Mn |
| Sep 30, 2023 | 56.00 Mn |
| Jun 30, 2023 | -11.00 Mn |
| Mar 31, 2023 | 124.00 Mn |
| Dec 31, 2022 | -739.00 Mn |
| Sep 30, 2022 | 315.00 Mn |
| Jun 30, 2022 | 344.00 Mn |
| Mar 31, 2022 | 288.00 Mn |
| Dec 31, 2021 | 102.00 Mn |
| Sep 30, 2021 | 88.00 Mn |
Alaska Air Capital Expenditures 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=capital-expenditures&ticker=ALK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "ALK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=ALK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();