Federated Hermes (FHI) Non Operating Interest Expenses (2009 - 2026)
Federated Hermes' Non Operating Interest Expenses came in at $3.16 million for Q2 2026, down 0.3% from $3.17 million a year earlier and down 0.8% from the prior quarter.
Federated Hermes (FHI) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Federated Hermes reported Non Operating Interest Expenses of $12.73 million, up 0.2% year-over-year; for FY2025, it was $12.73 million, up 0.5% from FY2024.
- Non Operating Interest Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 36.6% (FY2020 to FY2025).
- Going back by year, Non Operating Interest Expenses was $12.67 million in FY2024 (+1.2%), $12.52 million in FY2023 (+13.1%), $11.07 million in FY2022 (+520.3%) and $1.79 million in FY2021 (-33.3%).
- The five-year range for quarterly Non Operating Interest Expenses is $472,000 (Q4 2021) to $3.35 million (Q2 2022).
- Year-over-year, Non Operating Interest Expenses increased in seven of the last eight quarters, with growth averaging 0.6%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2022 (growth of 868.2%), and the weakest in Q2 2023 (a decline of 6.9%).
- Business Quant data shows FHI's Non Operating Interest Expenses at $3.19 million (Q1 2026), $3.2 million (Q4 2025) and $3.18 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 134.00 Mn |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | - |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | 145.02 Mn |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | -189.00 Mn |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | 702.75 Mn |
| 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 | 31.10 Mn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | -700,000.00 |
| 10 | Federated Hermes | 4.22 Bn | 1.86 Bn | - | 3.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.16 Mn |
| Mar 31, 2026 | 3.19 Mn |
| Dec 31, 2025 | 3.20 Mn |
| Sep 30, 2025 | 3.18 Mn |
| Jun 30, 2025 | 3.17 Mn |
| Mar 31, 2025 | 3.18 Mn |
| Dec 31, 2024 | 3.19 Mn |
| Sep 30, 2024 | 3.17 Mn |
| Jun 30, 2024 | 3.16 Mn |
| Mar 31, 2024 | 3.15 Mn |
| Dec 31, 2023 | 3.14 Mn |
| Sep 30, 2023 | 3.13 Mn |
| Jun 30, 2023 | 3.12 Mn |
| Mar 31, 2023 | 3.13 Mn |
| Dec 31, 2022 | 3.20 Mn |
| Sep 30, 2022 | 3.30 Mn |
| Jun 30, 2022 | 3.35 Mn |
| Mar 31, 2022 | 1.22 Mn |
| Dec 31, 2021 | 472,000.00 |
| Sep 30, 2021 | 476,000.00 |
Federated Hermes 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=FHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "FHI", "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=FHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();