United Parcel Service (UPS) Long-Term Debt Repayments (2009 - 2026)
United Parcel Service (UPS) posted Long-Term Debt Repayments of $48 million for Q3 2026, down 42.2% from $83 million a year earlier but up 23.1% from the prior quarter.
United Parcel Service (UPS) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Long-Term Debt Repayments at United Parcel Service was $1.06 billion, down 37.4% year-over-year; for FY2025, it was $2.07 billion, down 16.8% from FY2024.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -9.4% (FY2020 to FY2025).
- In prior years, United Parcel Service's Long-Term Debt Repayments was $2.49 billion in FY2024 (+2.4%), $2.43 billion in FY2023 (+5.4%), $2.3 billion in FY2022 (-16.9%) and $2.77 billion in FY2021 (-18.2%).
- Quarterly Long-Term Debt Repayments has run from a low of $18 million in Q1 2022 to a high of $1.53 billion in Q2 2023 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last eight quarters, with an average decline of 19.7%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q4 2022, with growth of 637.5%; the weakest was Q1 2022, with a decline of 98.8%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior quarters was $39 million (Q2 2026), $46 million (Q1 2026) and $924 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 176.01 Bn | 168.25 Bn | - | 13.00 Mn |
| 2 | Csx | 93.62 Bn | 88.85 Bn | - | 1.00 Mn |
| 3 | United Parcel Service | 92.85 Bn | 69.67 Bn | - | 48.00 Mn |
| 4 | Canadian Pacific Kansas City | 82.31 Bn | 81.35 Bn | - | 4.29 Mn |
| 5 | Fedex | 74.59 Bn | 40.78 Bn | - | 1.34 Bn |
| 6 | Norfolk Southern | 72.94 Bn | 67.40 Bn | - | 11.00 Mn |
| 7 | Delta Air Lines | 59.87 Bn | 42.05 Bn | - | 1.23 Bn |
| 8 | United Airlines Holdings | 39.08 Bn | -18.61 Bn | - | 1.00 Bn |
| 9 | Old Dominion Freight Line | 34.91 Bn | 33.76 Bn | - | - |
| 10 | Ryanair Holdings | 32.51 Bn | -871.89 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 48.00 Mn |
| Jun 30, 2026 | 39.00 Mn |
| Mar 31, 2026 | 46.00 Mn |
| Dec 31, 2025 | 924.00 Mn |
| Sep 30, 2025 | 83.00 Mn |
| Jun 30, 2025 | 1.03 Bn |
| Mar 31, 2025 | 32.00 Mn |
| Dec 31, 2024 | 543.00 Mn |
| Sep 30, 2024 | 436.00 Mn |
| Jun 30, 2024 | 582.00 Mn |
| Mar 31, 2024 | 926.00 Mn |
| Dec 31, 2023 | 804.00 Mn |
| Sep 30, 2023 | 29.00 Mn |
| Jun 30, 2023 | 1.53 Bn |
| Mar 31, 2023 | 65.00 Mn |
| Dec 31, 2022 | 1.18 Bn |
| Sep 30, 2022 | 19.00 Mn |
| Jun 30, 2022 | 1.09 Bn |
| Mar 31, 2022 | 18.00 Mn |
| Dec 31, 2021 | 160.00 Mn |
United Parcel Service Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=UPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=UPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();