Great Elm (GEG) Non Operating Interest Expenses (2019 - 2026)
Great Elm's Non Operating Interest Expenses came in at $1.02 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 3.5% from $1.06 million a year earlier and down 1.0% from the prior quarter.
Great Elm (GEG) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Great Elm's Non Operating Interest Expenses was $4.11 million, down 1.2% from FY2025.
- Non Operating Interest Expenses has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -3.7% (FY2021 to FY2026).
- Going back by fiscal year, Non Operating Interest Expenses was $4.16 million in FY2025 (-4.1%), $4.33 million in FY2024 (-28.6%), $6.07 million in FY2023 (+9.5%) and $5.55 million in FY2022 (+12.1%).
- The five-year range for quarterly Non Operating Interest Expenses is $1.02 million (fiscal Q2 2026) to $1.97 million (fiscal Q1 2023).
- Year-over-year, Non Operating Interest Expenses has declined for three consecutive quarters, with an average decline of 2.6% over the last eight quarters.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in fiscal Q2 2023 (growth of 51.2%), and the weakest in fiscal Q1 2024 (a decline of 46.2%).
- Business Quant data shows GEG's Non Operating Interest Expenses at $1.03 million (Q3 2026), $1.02 million (Q2 2026) and $1.03 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 165.06 Bn | 111.42 Bn | - | 134.00 Mn |
| 2 | Spdr Gold Trust | 134.74 Bn | -423.26 Bn | - | - |
| 3 | Blackstone | 84.49 Bn | 79.41 Bn | - | 145.02 Mn |
| 4 | Brookfield | 82.12 Bn | -83.26 Bn | 4.47 Bn | -189.00 Mn |
| 5 | Kkr | 81.93 Bn | 48.41 Bn | - | 702.75 Mn |
| 6 | Brookfield Asset Management | 71.19 Bn | 67.44 Bn | - | - |
| 7 | Apollo Global Management | 65.87 Bn | 3.55 Bn | 10.56 Bn | - |
| 8 | Wheaton Precious Metals | 60.57 Bn | 55.99 Bn | 687.86 Mn | 31.10 Mn |
| 9 | Franco Nevada | 45.46 Bn | 42.82 Bn | 451.00 Mn | -700,000.00 |
| 10 | Great Elm | 64.32 Mn | -139.38 Mn | - | 1.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 Mn |
| Mar 31, 2026 | 1.03 Mn |
| Dec 31, 2025 | 1.02 Mn |
| Sep 30, 2025 | 1.03 Mn |
| Jun 30, 2025 | 1.06 Mn |
| Mar 31, 2025 | 1.04 Mn |
| Dec 31, 2024 | 1.03 Mn |
| Sep 30, 2024 | 1.03 Mn |
| Jun 30, 2024 | 1.14 Mn |
| Mar 31, 2024 | 1.07 Mn |
| Dec 31, 2023 | 1.06 Mn |
| Sep 30, 2023 | 1.06 Mn |
| Jun 30, 2023 | 1.05 Mn |
| Mar 31, 2023 | 1.10 Mn |
| Dec 31, 2022 | 1.96 Mn |
| Sep 30, 2022 | 1.97 Mn |
| Jun 30, 2022 | 1.67 Mn |
| Mar 31, 2022 | 1.29 Mn |
| Dec 31, 2021 | 1.29 Mn |
| Sep 30, 2021 | 1.36 Mn |
Great Elm 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=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "GEG", "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=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();