Federated Hermes (FHI) EBITDA (2010 - 2026)
Federated Hermes' EBITDA was $140.92 million in Q2 2026, up 14.8% from $122.72 million a year earlier and up 7.1% from the prior quarter.
Federated Hermes (FHI) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Federated Hermes' EBITDA was $548.74 million through Jun 30, 2026, up 11.2% year-over-year; for FY2025, it came in at $536.14 million, up 39.7% from FY2024.
- EBITDA shows a five-year compound annual growth rate of 3.6% (FY2020 to FY2025).
- In earlier years, EBITDA was $383.9 million in FY2024 (-7.4%), $414.38 million in FY2023 (+13.6%), $364.88 million in FY2022 (-7.9%) and $396.28 million in FY2021 (-11.8%).
- Quarterly EBITDA has moved between $46.25 million (Q2 2024) and $141.15 million (Q4 2025) over five years.
- Compared with a year earlier, EBITDA was higher in seven of the last eight quarters, with growth averaging 32.6%.
- The best year-over-year quarter for EBITDA over five years was Q2 2025 (growth of 165.3%); the worst was Q2 2024 (a decline of 56.0%).
- Per Business Quant data, FHI's EBITDA in the three quarters before Q2 2026 was $131.58 million (Q1 2026), $141.15 million (Q4 2025) and $135.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 2.85 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 | -7.76 Bn |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | 2.03 Bn |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | 1.40 Bn |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | 2.23 Bn |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | 789.87 Mn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 529.70 Mn |
| 10 | Federated Hermes | 4.22 Bn | 1.86 Bn | - | 140.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 140.92 Mn |
| Mar 31, 2026 | 131.58 Mn |
| Dec 31, 2025 | 141.15 Mn |
| Sep 30, 2025 | 135.09 Mn |
| Jun 30, 2025 | 122.72 Mn |
| Mar 31, 2025 | 137.19 Mn |
| Dec 31, 2024 | 115.98 Mn |
| Sep 30, 2024 | 117.46 Mn |
| Jun 30, 2024 | 46.25 Mn |
| Mar 31, 2024 | 104.21 Mn |
| Dec 31, 2023 | 108.59 Mn |
| Sep 30, 2023 | 107.52 Mn |
| Jun 30, 2023 | 105.09 Mn |
| Mar 31, 2023 | 93.19 Mn |
| Dec 31, 2022 | 70.64 Mn |
| Sep 30, 2022 | 103.55 Mn |
| Jun 30, 2022 | 99.28 Mn |
| Mar 31, 2022 | 91.41 Mn |
| Dec 31, 2021 | 95.95 Mn |
| Sep 30, 2021 | 106.04 Mn |
Federated Hermes EBITDA 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=ebitda&ticker=FHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();