Western Union (WU) Non Operating Interest Expenses (2009 - 2026)
Western Union (WU) posted Non Operating Interest Expenses of $39.5 million for Q2 2026, up 7.6% from $36.7 million a year earlier and up 9.1% from the prior quarter.
Western Union (WU) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Western Union was $149.4 million, up 13.3% year-over-year; for FY2025, it came in at $143 million, up 19.4% from FY2024.
- Annual Non Operating Interest Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In prior years, Western Union's Non Operating Interest Expenses was $119.8 million in FY2024 (+13.8%), $105.3 million in FY2023 (+4.3%), $101 million in FY2022 (-4.3%) and $105.5 million in FY2021 (-11.0%).
- The Q2 2026 figure stands as the highest quarterly Non Operating Interest Expenses since Q1 2019.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last 15 quarters, with growth averaging 16.5% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q1 2025, with growth of 24.9%; the weakest was Q1 2022, with a decline of 12.7%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $36.2 million (Q1 2026), $36.7 million (Q4 2025) and $37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Visa | 687.36 Bn | 630.68 Bn | - | 194.00 Mn |
| 2 | Mastercard | 513.04 Bn | 472.96 Bn | - | 218.00 Mn |
| 3 | Wise | 14.65 Bn | 14.65 Bn | - | - |
| 4 | Remitly Global | 5.11 Bn | 2.76 Bn | 307.34 Mn | 3.15 Mn |
| 5 | Western Union | 1.91 Bn | -2.11 Bn | 336.50 Mn | 39.50 Mn |
| 6 | International Money Express | 382.67 Mn | -237.48 Mn | - | 2.32 Mn |
| 7 | Currenc | 167.21 Mn | -59.72 Mn | 3.70 Mn | -3.36 Mn |
| 8 | Sentage Holdings | 4.88 Mn | 4.88 Mn | - | - |
| 9 | American Express | 208.01 Bn | -160.24 Mn | - | - |
| 10 | Capital One Financial | 122.27 Bn | 122.27 Bn | - | -1.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.50 Mn |
| Mar 31, 2026 | 36.20 Mn |
| Dec 31, 2025 | 36.70 Mn |
| Sep 30, 2025 | 37.00 Mn |
| Jun 30, 2025 | 36.70 Mn |
| Mar 31, 2025 | 32.60 Mn |
| Dec 31, 2024 | 30.40 Mn |
| Sep 30, 2024 | 32.20 Mn |
| Jun 30, 2024 | 31.10 Mn |
| Mar 31, 2024 | 26.10 Mn |
| Dec 31, 2023 | 26.30 Mn |
| Sep 30, 2023 | 27.00 Mn |
| Jun 30, 2023 | 27.00 Mn |
| Mar 31, 2023 | 25.00 Mn |
| Dec 31, 2022 | 26.20 Mn |
| Sep 30, 2022 | 25.20 Mn |
| Jun 30, 2022 | 24.80 Mn |
| Mar 31, 2022 | 24.80 Mn |
| Dec 31, 2021 | 25.80 Mn |
| Sep 30, 2021 | 25.70 Mn |
Western Union Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=WU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=WU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();