Voya Financial (VOYA) Amortization - Intangibles (2024 - 2026)
Voya Financial's Amortization - Intangibles was $61 million in Q3 2026, down 6.2% from $65 million a year earlier and down 1.6% from the prior quarter.
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Analysis
Voya Financial (VOYA) Amortization - Intangibles (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Voya Financial's Amortization - Intangibles was $252 million through Sep 30, 2026, up 4.6% year-over-year; for FY2025, it came in at $249 million, up 11.7% from FY2024.
- In earlier years, Amortization - Intangibles was $223 million in FY2024 (-3.0%) and $230 million in FY2023.
- The Q3 2026 figure marks the lowest quarterly Amortization - Intangibles since Q2 2025.
- Compared with a year earlier, Amortization - Intangibles was higher in four of the last five quarters, with growth averaging 4.0%.
- Per Business Quant data, VOYA's Amortization - Intangibles in the three quarters before Q3 2026 was $62 million (Q2 2026), $65 million (Q1 2026) and $64 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 189.07 Bn | 145.60 Bn | - |
| 2 | Spdr Gold Trust | 125.11 Bn | -432.90 Bn | - |
| 3 | Brookfield | 101.47 Bn | -96.66 Bn | - |
| 4 | Blackstone | 91.35 Bn | 85.56 Bn | - |
| 5 | Kkr | 87.89 Bn | 54.59 Bn | 1.76 Bn |
| 6 | Brookfield Asset Management | 82.34 Bn | 77.22 Bn | - |
| 7 | Apollo Global Management | 72.94 Bn | 89.74 Bn | 4.14 Bn |
| 8 | Wheaton Precious Metals | 59.70 Bn | 59.70 Bn | 538.50 Mn |
| 9 | Ares Management | 48.49 Bn | 47.07 Bn | 376.28 Mn |
| 10 | Voya Financial | 9.16 Bn | 12.01 Bn | 1.51 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 61.00 Mn |
| Jun 30, 2026 | 62.00 Mn |
| Mar 31, 2026 | 65.00 Mn |
| Dec 31, 2025 | 64.00 Mn |
| Sep 30, 2025 | 65.00 Mn |
| Jun 30, 2025 | 58.00 Mn |
| Mar 31, 2025 | 62.00 Mn |
| Jun 30, 2024 | 56.00 Mn |
| Mar 31, 2024 | 56.00 Mn |
API Access
Voya Financial Amortization - 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=amortization-intangibles&ticker=VOYA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "VOYA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=VOYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();