Alaska Air (ALK) Total Non-Current Liabilities (2009 - 2026)
Alaska Air's Total Non-Current Liabilities came in at $10.38 billion for Q2 2026, up 12.5% from $9.23 billion a year earlier and up 9.2% from the prior quarter.
Alaska Air (ALK) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Alaska Air's Total Non-Current Liabilities was $9.65 billion, up 4.4% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $9.25 billion in FY2024 (+53.1%), $6.04 billion in FY2023 (-40.0%), $10.07 billion in FY2022 (+3.0%) and $9.77 billion in FY2021 (-7.2%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q2 2024.
- Year-over-year, Total Non-Current Liabilities has increased for four consecutive quarters, with growth averaging 4.4% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2021 (growth of 125.5%), and the weakest in Q4 2023 (a decline of 40.0%).
- Business Quant data shows ALK's Total Non-Current Liabilities at $9.51 billion (Q1 2026), $9.65 billion (Q4 2025) and $9.32 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 171.08 Bn | 165.61 Bn | - | 48.79 Bn |
| 2 | Csx | 89.23 Bn | 85.43 Bn | - | 30.11 Bn |
| 3 | United Parcel Service | 84.19 Bn | 61.08 Bn | - | 52.41 Bn |
| 4 | Canadian Pacific Kansas City | 77.85 Bn | 76.87 Bn | - | 28.69 Bn |
| 5 | Norfolk Southern | 73.42 Bn | 68.06 Bn | - | 27.16 Bn |
| 6 | Fedex | 70.89 Bn | 36.84 Bn | - | 62.04 Bn |
| 7 | Delta Air Lines | 51.06 Bn | 33.24 Bn | - | 29.96 Bn |
| 8 | Old Dominion Freight Line | 39.16 Bn | 38.42 Bn | - | 656.79 Mn |
| 9 | United Airlines Holdings | 32.57 Bn | -23.80 Bn | - | 40.11 Bn |
| 10 | Alaska Air | 3.84 Bn | -3.98 Bn | - | 10.38 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.38 Bn |
| Mar 31, 2026 | 9.51 Bn |
| Dec 31, 2025 | 9.65 Bn |
| Sep 30, 2025 | 9.32 Bn |
| Jun 30, 2025 | 9.23 Bn |
| Mar 31, 2025 | 8.98 Bn |
| Dec 31, 2024 | 9.25 Bn |
| Sep 30, 2024 | 8.83 Bn |
| Jun 30, 2024 | 10.76 Bn |
| Mar 31, 2024 | 10.53 Bn |
| Dec 31, 2023 | 6.04 Bn |
| Sep 30, 2023 | 10.71 Bn |
| Jun 30, 2023 | 10.55 Bn |
| Mar 31, 2023 | 10.31 Bn |
| Dec 31, 2022 | 10.07 Bn |
| Sep 30, 2022 | 10.36 Bn |
| Jun 30, 2022 | 10.65 Bn |
| Mar 31, 2022 | 10.21 Bn |
| Dec 31, 2021 | 9.77 Bn |
| Sep 30, 2021 | 9.96 Bn |
Alaska Air Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=ALK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=ALK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();