Marygold Companies (MGLD) Goodwill & Intangibles (2016 - 2026)
Marygold Companies' Goodwill & Intangibles came in at $2.7 million for fiscal Q3 2026 (quarter ended Mar 31, 2026), down 25.2% from $3.61 million a year earlier and down 14.9% from the prior quarter.
Marygold Companies (MGLD) Goodwill & Intangibles (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Marygold Companies' Goodwill & Intangibles was $3.14 million, down 12.2% from FY2024.
- Goodwill & Intangibles has declined in each of the last three fiscal years, with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- Going back by fiscal year, Goodwill & Intangibles was $3.58 million in FY2024 (-22.8%), $4.64 million in FY2023 (-7.6%), $5.02 million in FY2022 (+48.2%) and $3.39 million in FY2021 (-2.1%).
- The fiscal Q3 2026 figure represents the lowest quarterly Goodwill & Intangibles since fiscal Q1 2018.
- Year-over-year, Goodwill & Intangibles has declined for 12 consecutive quarters, with an average decline of 17.9% over the last eight quarters.
- The fastest year-over-year change in Goodwill & Intangibles over five years came in fiscal Q3 2023 (growth of 50.1%), and the weakest in fiscal Q3 2026 (a decline of 25.2%).
- Business Quant data shows MGLD's Goodwill & Intangibles at $3.17 million (Q2 2026), $3.03 million (Q1 2026) and $3.14 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - |
| 4 | Brookfield | 82.97 Bn | -82.41 Bn | 4.47 Bn |
| 5 | Kkr | 81.05 Bn | 47.53 Bn | - |
| 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 | Marygold Companies | 86.28 Mn | 48.44 Mn | 6.46 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.70 Mn |
| Dec 31, 2025 | 3.17 Mn |
| Sep 30, 2025 | 3.03 Mn |
| Jun 30, 2025 | 3.14 Mn |
| Mar 31, 2025 | 3.61 Mn |
| Dec 31, 2024 | 3.70 Mn |
| Sep 30, 2024 | 3.78 Mn |
| Jun 30, 2024 | 3.58 Mn |
| Mar 31, 2024 | 4.31 Mn |
| Dec 31, 2023 | 4.42 Mn |
| Sep 30, 2023 | 4.53 Mn |
| Jun 30, 2023 | 4.64 Mn |
| Mar 31, 2023 | 4.73 Mn |
| Dec 31, 2022 | 4.82 Mn |
| Sep 30, 2022 | 4.92 Mn |
| Jun 30, 2022 | 5.02 Mn |
| Mar 31, 2022 | 3.15 Mn |
| Dec 31, 2021 | 3.23 Mn |
| Sep 30, 2021 | 3.30 Mn |
| Jun 30, 2021 | 3.39 Mn |
Marygold Companies Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=MGLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "MGLD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=goodwill-and-intangibles&ticker=MGLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();