Western Union (WU) Amortization of Intangibles (2009 - 2026)
Western Union's Amortization of Intangibles was $40.5 million in Q3 2026, up 23.9% from $32.7 million a year earlier and up 0.5% from the prior quarter.
Western Union (WU) Amortization of Intangibles (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Western Union's Amortization of Intangibles was $152.6 million through Sep 30, 2026, up 17.2% year-over-year; for FY2025, it came in at $130.2 million, down 8.1% from FY2024.
- Amortization of Intangibles shows a five-year compound annual growth rate of -4.5% (FY2020 to FY2025).
- In earlier years, Amortization of Intangibles was $141.7 million in FY2024 (-1.9%), $144.5 million in FY2023 (+2.4%), $141.1 million in FY2022 (-11.0%) and $158.6 million in FY2021 (-3.5%).
- The Q3 2026 figure marks the highest quarterly Amortization of Intangibles since Q2 2021.
- Compared with a year earlier, Amortization of Intangibles has increased for three straight quarters, with growth averaging 4.0% over the last eight quarters.
- The best year-over-year quarter for Amortization of Intangibles over five years was Q2 2026 (growth of 27.9%); the worst was Q2 2022 (a decline of 18.4%).
- Per Business Quant data, WU's Amortization of Intangibles in the three quarters before Q3 2026 was $40.3 million (Q2 2026), $38.2 million (Q1 2026) and $33.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Visa | 761.85 Bn | 709.39 Bn | - | - |
| 2 | Mastercard | 576.33 Bn | 536.42 Bn | - | - |
| 3 | Wise | 11.36 Bn | 11.36 Bn | - | - |
| 4 | Remitly Global | 4.75 Bn | 2.21 Bn | 319.61 Mn | - |
| 5 | Western Union | 2.15 Bn | -2.01 Bn | 343.00 Mn | 40.50 Mn |
| 6 | International Money Express | 221.76 Mn | -398.39 Mn | - | - |
| 7 | Currenc | 116.19 Mn | -135.10 Mn | 3.70 Mn | 385,139.00 |
| 8 | Sentage Holdings | 4.40 Mn | 324,699.40 | - | - |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | - |
| 10 | Capital One Financial | 123.02 Bn | 123.02 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 40.50 Mn |
| Jun 30, 2026 | 40.30 Mn |
| Mar 31, 2026 | 38.20 Mn |
| Dec 31, 2025 | 33.60 Mn |
| Sep 30, 2025 | 32.70 Mn |
| Jun 30, 2025 | 31.50 Mn |
| Mar 31, 2025 | 32.40 Mn |
| Dec 31, 2024 | 33.60 Mn |
| Sep 30, 2024 | 34.10 Mn |
| Jun 30, 2024 | 36.60 Mn |
| Mar 31, 2024 | 37.40 Mn |
| Dec 31, 2023 | 35.90 Mn |
| Sep 30, 2023 | 36.20 Mn |
| Jun 30, 2023 | 36.00 Mn |
| Mar 31, 2023 | 36.40 Mn |
| Dec 31, 2022 | 35.40 Mn |
| Sep 30, 2022 | 35.60 Mn |
| Jun 30, 2022 | 34.60 Mn |
| Mar 31, 2022 | 35.50 Mn |
| Dec 31, 2021 | 36.70 Mn |
Western Union Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=WU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=WU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();