United Parcel Service (UPS) Total Liabilities (2009 - 2026)
United Parcel Service's Total Liabilities came in at $56.17 billion for Q2 2026, up 1.9% from $55.15 billion a year earlier and up 0.3% from the prior quarter.
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Analysis
United Parcel Service (UPS) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, United Parcel Service's Total Liabilities was $56.84 billion, up 6.6% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $53.33 billion in FY2024 (-0.4%), $53.54 billion in FY2023 (+4.3%), $51.32 billion in FY2022 (-6.9%) and $55.14 billion in FY2021 (-10.7%).
- The five-year range for quarterly Total Liabilities is $50.31 billion (Q2 2023) to $56.84 billion (Q4 2025).
- Year-over-year, Total Liabilities has increased for six consecutive quarters, with growth averaging 4.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2025 (growth of 8.1%), and the weakest in Q4 2021 (a decline of 10.7%).
- Business Quant data shows UPS's Total Liabilities at $56.02 billion (Q1 2026), $56.84 billion (Q4 2025) and $55.54 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 50.54 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Copart | 25.14 Bn | 9.56 Bn | 645.66 Mn | 930.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.17 Bn |
| Mar 31, 2026 | 56.02 Bn |
| Dec 31, 2025 | 56.84 Bn |
| Sep 30, 2025 | 55.54 Bn |
| Jun 30, 2025 | 55.15 Bn |
| Mar 31, 2025 | 52.78 Bn |
| Dec 31, 2024 | 53.33 Bn |
| Sep 30, 2024 | 51.38 Bn |
| Jun 30, 2024 | 52.37 Bn |
| Mar 31, 2024 | 50.70 Bn |
| Dec 31, 2023 | 53.54 Bn |
| Sep 30, 2023 | 51.10 Bn |
| Jun 30, 2023 | 50.31 Bn |
| Mar 31, 2023 | 52.14 Bn |
| Dec 31, 2022 | 51.32 Bn |
| Sep 30, 2022 | 52.56 Bn |
| Jun 30, 2022 | 53.78 Bn |
| Mar 31, 2022 | 54.68 Bn |
| Dec 31, 2021 | 55.14 Bn |
| Sep 30, 2021 | 53.68 Bn |
API Access
United Parcel Service 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=UPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "UPS", "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=UPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();