United Parcel Service (UPS) Current Debt (2009 - 2024)
United Parcel Service's Current Debt came in at -$1.27 billion for FY2024, compared with $1.27 billion in FY2023.
Analysis
United Parcel Service (UPS) Current Debt (2009 - 2024) Analysis & Trends
Going back to FY2009, United Parcel Service's Current Debt data covers 11 years.
- The FY2024 figure represents the lowest annual Current Debt since FY2020.
- Per Business Quant, earlier years put Current Debt at $1.27 billion in FY2023 and -$2.46 billion in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 562.44 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | - |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | - |
| 10 | Copart | 25.20 Bn | 8.75 Bn | 732.88 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | -1.27 Bn |
| Dec 31, 2023 | 857.00 Mn |
| Sep 30, 2023 | 415.00 Mn |
| Sep 30, 2021 | -498.00 Mn |
| Jun 30, 2021 | -199.00 Mn |
| Mar 31, 2021 | 697.00 Mn |
| Dec 31, 2020 | -538.00 Mn |
| Sep 30, 2020 | -1.03 Bn |
| Jun 30, 2020 | -801.00 Mn |
| Mar 31, 2020 | -91.00 Mn |
| Dec 31, 2019 | 1.41 Bn |
| Sep 30, 2019 | -1.05 Bn |
| Jun 30, 2019 | 1.17 Bn |
| Mar 31, 2019 | -1.22 Bn |
| Dec 31, 2018 | 140.00 Mn |
| Sep 30, 2018 | -145.00 Mn |
| Jun 30, 2018 | -97.00 Mn |
| Mar 31, 2018 | 165.00 Mn |
| Dec 31, 2017 | 104.00 Mn |
| Sep 30, 2017 | 456.00 Mn |
API Access
United Parcel Service Current Debt 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=current-debt&ticker=UPS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=UPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();