Federated Hermes (FHI) Total Non-Current Liabilities (2009 - 2026)
Federated Hermes (FHI) recorded Total Non-Current Liabilities of $678.5 million in Q2 2026, up 4.6% from $648.76 million a year earlier and up 6.0% from the prior quarter.
Federated Hermes (FHI) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Federated Hermes reported Total Non-Current Liabilities of $651.72 million, up 1.1% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $644.77 million in FY2024 (-2.4%), $660.4 million in FY2023 (+0.7%), $655.55 million in FY2022 (+15.0%) and $570.26 million in FY2021 (+35.3%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q3 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 0.7% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 78.4% in Q1 2022, against a decline of 12.4% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $640.29 million (Q1 2026), $651.72 million (Q4 2025) and $675.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.03 Bn | 110.39 Bn | - | 52.77 Bn |
| 2 | Spdr Gold Trust | 134.08 Bn | -423.92 Bn | - | - |
| 3 | Blackstone | 84.38 Bn | 79.31 Bn | - | 25.35 Bn |
| 4 | Brookfield | 81.99 Bn | -83.40 Bn | 4.47 Bn | 7.37 Bn |
| 5 | Kkr | 81.98 Bn | 48.46 Bn | - | 333.26 Bn |
| 6 | Brookfield Asset Management | 71.20 Bn | 67.45 Bn | - | 10.41 Bn |
| 7 | Apollo Global Management | 66.86 Bn | 4.54 Bn | 10.56 Bn | 433.59 Bn |
| 8 | Wheaton Precious Metals | 60.68 Bn | 56.11 Bn | 687.86 Mn | 2.19 Bn |
| 9 | Franco Nevada | 45.90 Bn | 43.27 Bn | 451.00 Mn | 673.40 Mn |
| 10 | Federated Hermes | 4.22 Bn | 1.86 Bn | - | 678.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 678.50 Mn |
| Mar 31, 2026 | 640.29 Mn |
| Dec 31, 2025 | 651.72 Mn |
| Sep 30, 2025 | 675.07 Mn |
| Jun 30, 2025 | 648.76 Mn |
| Mar 31, 2025 | 635.73 Mn |
| Dec 31, 2024 | 644.77 Mn |
| Sep 30, 2024 | 637.49 Mn |
| Jun 30, 2024 | 640.61 Mn |
| Mar 31, 2024 | 653.92 Mn |
| Dec 31, 2023 | 660.40 Mn |
| Sep 30, 2023 | 654.08 Mn |
| Jun 30, 2023 | 633.38 Mn |
| Mar 31, 2023 | 640.58 Mn |
| Dec 31, 2022 | 655.55 Mn |
| Sep 30, 2022 | 707.63 Mn |
| Jun 30, 2022 | 722.15 Mn |
| Mar 31, 2022 | 731.06 Mn |
| Dec 31, 2021 | 570.26 Mn |
| Sep 30, 2021 | 451.37 Mn |
Federated Hermes Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FHI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FHI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();