Voya Financial (VOYA) Operating Interest Expenses (2015 - 2026)
Voya Financial (VOYA) recorded Operating Interest Expenses of $265 million in Q2 2026, up 1.9% from $260 million a year earlier and up 3.9% from the prior quarter.
Voya Financial (VOYA) Operating Interest Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Voya Financial's Operating Interest Expenses came in at $1.08 billion as of Jun 30, 2026, up 6.0% year-over-year; for FY2025, it was $1.07 billion, up 8.3% from FY2024.
- Annual Operating Interest Expenses has a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- Across earlier years, Operating Interest Expenses came in at $992 million in FY2024 (-7.8%), $1.08 billion in FY2023 (+11.9%), $962 million in FY2022 (-8.0%) and $1.05 billion in FY2021 (-8.8%).
- Quarterly Operating Interest Expenses has ranged from $233 million in Q1 2022 to $328 million in Q3 2023 over the past five years.
- On a year-over-year basis, Operating Interest Expenses rose in five of the last eight quarters, with growth averaging 0.7%.
- Peak year-over-year performance for Operating Interest Expenses in the last five years was growth of 36.7% in Q3 2023, against a decline of 24.3% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $255 million (Q1 2026), $269 million (Q4 2025) and $289 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Interest Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | - |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | - |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | - |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | -106.00 Mn |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | - |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | - |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | - |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | - |
| 10 | Voya Financial | 8.56 Bn | 8.13 Bn | 1.34 Bn | 265.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 265.00 Mn |
| Mar 31, 2026 | 255.00 Mn |
| Dec 31, 2025 | 269.00 Mn |
| Sep 30, 2025 | 289.00 Mn |
| Jun 30, 2025 | 260.00 Mn |
| Mar 31, 2025 | 256.00 Mn |
| Dec 31, 2024 | 244.00 Mn |
| Sep 30, 2024 | 257.00 Mn |
| Jun 30, 2024 | 245.00 Mn |
| Mar 31, 2024 | 246.00 Mn |
| Dec 31, 2023 | 263.00 Mn |
| Sep 30, 2023 | 328.00 Mn |
| Jun 30, 2023 | 244.00 Mn |
| Mar 31, 2023 | 241.00 Mn |
| Dec 31, 2022 | 246.00 Mn |
| Sep 30, 2022 | 240.00 Mn |
| Jun 30, 2022 | 243.00 Mn |
| Mar 31, 2022 | 233.00 Mn |
| Dec 31, 2021 | 325.00 Mn |
| Sep 30, 2021 | 248.00 Mn |
Voya Financial 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=operating-interest-expenses&ticker=VOYA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-interest-expenses", "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=operating-interest-expenses&ticker=VOYA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();