United Parcel Service (UPS) Total Liabilities (2009 - 2026)
United Parcel Service's Total Liabilities came in at $57.69 billion for Q3 2026, up 3.9% from $55.54 billion a year earlier and up 2.7% from the prior quarter.
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 Q3 2026 figure represents the highest quarterly Total Liabilities since Q4 2020.
- Year-over-year, Total Liabilities has increased for seven consecutive quarters, with growth averaging 4.4% 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 $56.17 billion (Q2 2026), $56.02 billion (Q1 2026) and $56.84 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 | 178.63 Bn | 170.88 Bn | - | 50.59 Bn |
| 2 | Csx | 94.16 Bn | 89.39 Bn | - | 30.82 Bn |
| 3 | United Parcel Service | 83.47 Bn | 60.32 Bn | 22.04 Bn | 57.69 Bn |
| 4 | Canadian Pacific Kansas City | 81.54 Bn | 81.26 Bn | 57.15 Mn | 30.08 Bn |
| 5 | Fedex | 75.60 Bn | 41.80 Bn | 18.84 Bn | 67.29 Bn |
| 6 | Norfolk Southern | 73.66 Bn | 68.13 Bn | - | 29.22 Bn |
| 7 | Delta Air Lines | 60.67 Bn | 42.86 Bn | - | 63.54 Bn |
| 8 | United Airlines Holdings | 39.17 Bn | -18.53 Bn | - | 67.37 Bn |
| 9 | Old Dominion Freight Line | 34.72 Bn | 33.56 Bn | 1.56 Bn | 1.22 Bn |
| 10 | Ryanair Holdings | 31.95 Bn | 16.22 Bn | - | 7.95 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 57.69 Bn |
| 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 |
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_KEY
import 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();