Southwest Airlines (LUV) Total Non-Current Liabilities (2009 - 2026)
Southwest Airlines' Total Non-Current Liabilities was $21.81 billion in Q2 2026, up 10.9% from $19.67 billion a year earlier and up 2.5% from the prior quarter.
Southwest Airlines (LUV) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Southwest Airlines came in at $19.77 billion, down 12.1% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -4.2% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $22.49 billion in FY2024 (-10.0%), $24.99 billion in FY2023 (+5.4%), $23.71 billion in FY2022 (-3.9%) and $24.68 billion in FY2021 (+0.9%).
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q1 2025.
- Compared with a year earlier, Total Non-Current Liabilities was higher in 1 of the last eight quarters, with an average decline of 8.6%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2026 (growth of 10.9%); the worst was Q2 2025 (a decline of 18.6%).
- Per Business Quant data, LUV's Total Non-Current Liabilities in the three quarters before Q2 2026 was $21.28 billion (Q1 2026), $19.77 billion (Q4 2025) and $19.39 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 48.79 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 30.11 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 52.41 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 28.69 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 27.16 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 62.04 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 29.96 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 656.79 Mn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 40.11 Bn |
| 10 | Southwest Airlines | 19.41 Bn | 6.04 Bn | - | 21.81 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.81 Bn |
| Mar 31, 2026 | 21.28 Bn |
| Dec 31, 2025 | 19.77 Bn |
| Sep 30, 2025 | 19.39 Bn |
| Jun 30, 2025 | 19.67 Bn |
| Mar 31, 2025 | 22.92 Bn |
| Dec 31, 2024 | 22.49 Bn |
| Sep 30, 2024 | 23.50 Bn |
| Jun 30, 2024 | 24.17 Bn |
| Mar 31, 2024 | 24.89 Bn |
| Dec 31, 2023 | 24.99 Bn |
| Sep 30, 2023 | 25.05 Bn |
| Jun 30, 2023 | 24.79 Bn |
| Mar 31, 2023 | 24.31 Bn |
| Dec 31, 2022 | 23.71 Bn |
| Sep 30, 2022 | 23.97 Bn |
| Jun 30, 2022 | 26.09 Bn |
| Mar 31, 2022 | 25.69 Bn |
| Dec 31, 2021 | 24.68 Bn |
| Sep 30, 2021 | 25.76 Bn |
Southwest Airlines 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=LUV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "LUV", "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=LUV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();