Great Elm (GEG) Depreciation & Amortization (CF) (2019 - 2026)
Great Elm (GEG) reported Depreciation & Amortization (CF) of $332,000 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 0.3% from $331,000 a year earlier and up 6.1% from the prior quarter.
Great Elm (GEG) Depreciation & Amortization (CF) (2019 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Great Elm posted Depreciation & Amortization (CF) of $1.3 million, up 4.0% from FY2025.
- Depreciation & Amortization (CF) has a five-year compound annual growth rate of -31.6% (FY2021 to FY2026).
- By fiscal year, Depreciation & Amortization (CF) came in at $1.25 million in FY2025 (+12.7%), $1.11 million in FY2024 (-3.8%), $1.15 million in FY2023 (+119.8%) and $524,000 in FY2022 (-94.0%).
- Five-year quarterly Depreciation & Amortization (CF) spans a low of -$2.03 million in fiscal Q2 2022 and a high of $2.25 million in fiscal Q1 2022.
- Year over year, Depreciation & Amortization (CF) gained in six of the last eight quarters, with growth averaging 9.3%.
- The high point for year-over-year Depreciation & Amortization (CF) in five years was fiscal Q3 2023 (growth of 215.7%); the low point was fiscal Q3 2022 (a decline of 95.8%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $313,000 (Q3 2026), $312,000 (Q2 2026) and $342,000 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 165.06 Bn | 111.42 Bn | - | 385.00 Mn |
| 2 | Spdr Gold Trust | 134.74 Bn | -423.26 Bn | - | - |
| 3 | Blackstone | 84.49 Bn | 79.41 Bn | - | - |
| 4 | Brookfield | 82.12 Bn | -83.26 Bn | 4.47 Bn | 2.71 Bn |
| 5 | Kkr | 81.93 Bn | 48.41 Bn | - | -42.02 Mn |
| 6 | Brookfield Asset Management | 71.19 Bn | 67.44 Bn | - | 13.00 Mn |
| 7 | Apollo Global Management | 65.87 Bn | 3.55 Bn | 10.56 Bn | 414.00 Mn |
| 8 | Wheaton Precious Metals | 60.57 Bn | 55.99 Bn | 687.86 Mn | 122.81 Mn |
| 9 | Franco Nevada | 45.46 Bn | 42.82 Bn | 451.00 Mn | 84.00 Mn |
| 10 | Great Elm | 64.32 Mn | -139.38 Mn | - | 332,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 332,000.00 |
| Mar 31, 2026 | 313,000.00 |
| Dec 31, 2025 | 312,000.00 |
| Sep 30, 2025 | 342,000.00 |
| Jun 30, 2025 | 331,000.00 |
| Mar 31, 2025 | 361,000.00 |
| Dec 31, 2024 | 284,000.00 |
| Sep 30, 2024 | 273,000.00 |
| Jun 30, 2024 | 271,000.00 |
| Mar 31, 2024 | 271,000.00 |
| Dec 31, 2023 | 283,000.00 |
| Sep 30, 2023 | 283,000.00 |
| Jun 30, 2023 | 282,000.00 |
| Mar 31, 2023 | 281,000.00 |
| Dec 31, 2022 | 295,000.00 |
| Sep 30, 2022 | 294,000.00 |
| Jun 30, 2022 | 217,000.00 |
| Mar 31, 2022 | 89,000.00 |
| Dec 31, 2021 | -2.03 Mn |
| Sep 30, 2021 | 2.25 Mn |
Great Elm Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=GEG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=GEG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();