Southwest Airlines (LUV) Total Liabilities (2009 - 2026)
Southwest Airlines' Total Liabilities came in at $23.21 billion for Q3 2026, up 13.0% from $20.54 billion a year earlier and up 0.7% from the prior quarter.
Southwest Airlines (LUV) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Southwest Airlines' Total Liabilities was $21.08 billion, down 9.9% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -3.9% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $23.4 billion in FY2024 (-9.9%), $25.97 billion in FY2023 (+5.2%), $24.68 billion in FY2022 (-4.7%) and $25.91 billion in FY2021 (+0.8%).
- The Q3 2026 figure represents the highest quarterly Total Liabilities since Q1 2025.
- Year-over-year, Total Liabilities increased in two of the last eight quarters, with an average decline of 5.3%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2026 (growth of 13.0%), and the weakest in Q2 2025 (a decline of 17.5%).
- Business Quant data shows LUV's Total Liabilities at $23.04 billion (Q2 2026), $22.48 billion (Q1 2026) and $21.08 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | 50.59 Bn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 57.69 Bn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | 30.82 Bn |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | 30.08 Bn |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 67.29 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | 29.22 Bn |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | 63.54 Bn |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | 67.37 Bn |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | 1.22 Bn |
| 10 | Southwest Airlines | 21.75 Bn | 7.77 Bn | - | 23.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 23.21 Bn |
| Jun 30, 2026 | 23.04 Bn |
| Mar 31, 2026 | 22.48 Bn |
| Dec 31, 2025 | 21.08 Bn |
| Sep 30, 2025 | 20.54 Bn |
| Jun 30, 2025 | 20.71 Bn |
| Mar 31, 2025 | 23.85 Bn |
| Dec 31, 2024 | 23.40 Bn |
| Sep 30, 2024 | 24.44 Bn |
| Jun 30, 2024 | 25.10 Bn |
| Mar 31, 2024 | 25.82 Bn |
| Dec 31, 2023 | 25.97 Bn |
| Sep 30, 2023 | 25.93 Bn |
| Jun 30, 2023 | 25.73 Bn |
| Mar 31, 2023 | 25.24 Bn |
| Dec 31, 2022 | 24.68 Bn |
| Sep 30, 2022 | 25.02 Bn |
| Jun 30, 2022 | 27.18 Bn |
| Mar 31, 2022 | 26.85 Bn |
| Dec 31, 2021 | 25.91 Bn |
Southwest Airlines Total 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-liabilities&ticker=LUV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=LUV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();