Federated Hermes (FHI) Amortization - Intangibles (2009 - 2026)
Federated Hermes' Amortization - Intangibles came in at $6.38 million for Q2 2026, up 82.2% from $3.5 million a year earlier and up 86.6% from the prior quarter.
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Analysis
Federated Hermes (FHI) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Federated Hermes reported Amortization - Intangibles of $16.79 million, up 25.0% year-over-year; for FY2025, it was $13.73 million, down 82.7% from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $79.36 million in FY2024 (+470.9%), $13.9 million in FY2023 (-68.5%), $44.07 million in FY2022 (+218.8%) and $13.82 million in FY2021 (unchanged).
- The Q2 2026 figure represents the highest quarterly Amortization - Intangibles since Q2 2024.
- Year-over-year, Amortization - Intangibles has increased for four consecutive quarters, with an average decline of 1.3% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q2 2026 (growth of 82.2%), and the weakest in Q2 2025 (a decline of 95.0%).
- Business Quant data shows FHI's Amortization - Intangibles at $3.42 million (Q1 2026), $3.43 million (Q4 2025) and $3.56 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 | Federated Hermes | 4.22 Bn | 1.86 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.38 Mn |
| Mar 31, 2026 | 3.42 Mn |
| Dec 31, 2025 | 3.43 Mn |
| Sep 30, 2025 | 3.56 Mn |
| Jun 30, 2025 | 3.50 Mn |
| Mar 31, 2025 | 3.20 Mn |
| Dec 31, 2024 | 3.23 Mn |
| Sep 30, 2024 | 3.50 Mn |
| Jun 30, 2024 | 69.39 Mn |
| Mar 31, 2024 | 3.24 Mn |
| Dec 31, 2023 | 3.71 Mn |
| Sep 30, 2023 | 3.45 Mn |
| Jun 30, 2023 | 3.42 Mn |
| Mar 31, 2023 | 3.33 Mn |
| Dec 31, 2022 | 34.75 Mn |
| Sep 30, 2022 | 2.89 Mn |
| Jun 30, 2022 | 3.09 Mn |
| Mar 31, 2022 | 3.33 Mn |
| Dec 31, 2013 | -453,000.00 |
| Sep 30, 2013 | 634,000.00 |
API Access
Federated Hermes 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=FHI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=FHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();