Western Union (WU) Long-Term Debt Repayments (2009 - 2026)
Western Union (WU) reported Long-Term Debt Repayments of $600 million for Q1 2026, up 20.0% from $500 million a year earlier.
Analysis
Western Union (WU) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For FY2025, Western Union posted Long-Term Debt Repayments of $500 million.
- Long-Term Debt Repayments has a four-year compound annual growth rate of -18.8% (FY2021 to FY2025).
- By year, Long-Term Debt Repayments came in at $300 million in FY2023 (unchanged), $300 million in FY2022 (-73.9%) and $1.15 billion in FY2021.
- The Q1 2026 figure ranks as the highest quarterly Long-Term Debt Repayments since Q1 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Visa | 687.36 Bn | 630.68 Bn | - | 1.57 Bn |
| 2 | Mastercard | 513.04 Bn | 472.96 Bn | - | - |
| 3 | Wise | 14.65 Bn | 14.65 Bn | - | - |
| 4 | Remitly Global | 5.11 Bn | 2.76 Bn | 307.34 Mn | - |
| 5 | Western Union | 1.91 Bn | -2.11 Bn | 336.50 Mn | - |
| 6 | International Money Express | 382.67 Mn | -237.48 Mn | - | - |
| 7 | Currenc | 167.21 Mn | -59.72 Mn | 3.70 Mn | - |
| 8 | Sentage Holdings | 4.88 Mn | 4.88 Mn | - | - |
| 9 | American Express | 208.01 Bn | -160.24 Mn | - | 3.95 Bn |
| 10 | Capital One Financial | 122.27 Bn | 122.27 Bn | - | 6.38 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 600.00 Mn |
| Mar 31, 2025 | 500.00 Mn |
| Mar 31, 2022 | 300.00 Mn |
| Jun 30, 2021 | 500.00 Mn |
| Mar 31, 2021 | 650.00 Mn |
| Dec 31, 2019 | 324.90 Mn |
| Dec 31, 2018 | 7.20 Mn |
| Dec 31, 2017 | 500.00 Mn |
| Dec 31, 2016 | 1.01 Bn |
| Dec 31, 2015 | 250.00 Mn |
| Sep 30, 2015 | 250.00 Mn |
| Mar 31, 2014 | 500.00 Mn |
| Mar 31, 2013 | 300.00 Mn |
| Mar 31, 2009 | 500.00 Mn |
API Access
Western Union 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=WU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "WU", "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=WU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();