Federated Hermes (FHI) Change in Accured Expenses (2010 - 2026)
Federated Hermes' Change in Accured Expenses was $34.54 million in Q2 2026, up 55.9% from $22.16 million a year earlier.
Federated Hermes (FHI) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Federated Hermes' Change in Accured Expenses was $16.38 million through Jun 30, 2026; for FY2025, it was $5.93 million, down 36.6% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 53.5% (FY2020 to FY2025).
- In earlier years, Change in Accured Expenses was $9.36 million in FY2024 (-36.0%), $14.63 million in FY2023 (+213.3%), $4.67 million in FY2022 and -$6.37 million in FY2021.
- Quarterly Change in Accured Expenses has moved between -$103.15 million (Q1 2026) and $46.94 million (Q4 2025) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last six quarters, with growth averaging 19.2%.
- The best year-over-year quarter for Change in Accured Expenses over five years was Q2 2024 (growth of 101.2%); the worst was Q2 2023 (a decline of 56.4%).
- Per Business Quant data, FHI's Change in Accured Expenses in the three quarters before Q2 2026 was -$103.15 million (Q1 2026), $46.94 million (Q4 2025) and $38.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 845.00 Mn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | -244.18 Mn |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn | - |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - | 834.56 Mn |
| 6 | Brookfield Asset Management | 71.64 Bn | 67.88 Bn | - | - |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | - |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | -10.40 Mn |
| 10 | Federated Hermes | 4.20 Bn | 1.85 Bn | - | 34.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.54 Mn |
| Mar 31, 2026 | -103.15 Mn |
| Dec 31, 2025 | 46.94 Mn |
| Sep 30, 2025 | 38.05 Mn |
| Jun 30, 2025 | 22.16 Mn |
| Mar 31, 2025 | -101.22 Mn |
| Dec 31, 2024 | 37.40 Mn |
| Sep 30, 2024 | 34.81 Mn |
| Jun 30, 2024 | 30.89 Mn |
| Mar 31, 2024 | -93.73 Mn |
| Dec 31, 2023 | 38.57 Mn |
| Sep 30, 2023 | 22.33 Mn |
| Jun 30, 2023 | 15.35 Mn |
| Mar 31, 2023 | -61.62 Mn |
| Dec 31, 2022 | 27.65 Mn |
| Sep 30, 2022 | 30.02 Mn |
| Jun 30, 2022 | 35.20 Mn |
| Mar 31, 2022 | -88.21 Mn |
| Dec 31, 2021 | 30.40 Mn |
| Sep 30, 2021 | 30.95 Mn |
Federated Hermes Change in Accured 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=change-in-accured-expenses&ticker=FHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();