Marygold Companies (MGLD) Selling, General & Administrative (2010 - 2026)
Marygold Companies (MGLD) recorded Selling, General & Administrative of $1.45 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 8.6% from $1.59 million a year earlier and down 3.1% from the prior quarter.
Marygold Companies (MGLD) Selling, General & Administrative (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Marygold Companies reported Selling, General & Administrative of $6.35 million, down 22.4% from FY2025.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- Across earlier fiscal years, Selling, General & Administrative came in at $8.18 million in FY2025 (-8.6%), $8.94 million in FY2024 (+26.4%), $7.08 million in FY2023 (+4.1%) and $6.79 million in FY2022 (-4.8%).
- The fiscal Q4 2026 figure is the lowest quarterly Selling, General & Administrative since fiscal Q2 2022.
- On a year-over-year basis, Selling, General & Administrative has declined for six consecutive quarters, with an average decline of 12.6% over the last eight quarters.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 51.9% in fiscal Q2 2023, against a decline of 28.3% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.5 million (Q3 2026), $1.7 million (Q2 2026) and $2.06 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 164.13 Bn | 110.49 Bn | - | 720.00 Mn |
| 2 | Spdr Gold Trust | 133.82 Bn | -424.18 Bn | - | - |
| 3 | Blackstone | 84.08 Bn | 79.01 Bn | - | 409.11 Mn |
| 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 | - | 25.00 Mn |
| 7 | Apollo Global Management | 65.67 Bn | 3.35 Bn | 10.56 Bn | 479.00 Mn |
| 8 | Wheaton Precious Metals | 61.89 Bn | 57.32 Bn | 687.86 Mn | 11.33 Mn |
| 9 | Franco Nevada | 46.13 Bn | 43.49 Bn | 451.00 Mn | 7.80 Mn |
| 10 | Marygold Companies | 86.28 Mn | 48.44 Mn | 6.46 Mn | 1.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.45 Mn |
| Mar 31, 2026 | 1.50 Mn |
| Dec 31, 2025 | 1.70 Mn |
| Sep 30, 2025 | 2.06 Mn |
| Jun 30, 2025 | 1.59 Mn |
| Mar 31, 2025 | 2.02 Mn |
| Dec 31, 2024 | 2.36 Mn |
| Sep 30, 2024 | 2.57 Mn |
| Jun 30, 2024 | 2.21 Mn |
| Mar 31, 2024 | 2.17 Mn |
| Dec 31, 2023 | 2.31 Mn |
| Sep 30, 2023 | 2.25 Mn |
| Jun 30, 2023 | 1.81 Mn |
| Mar 31, 2023 | 1.75 Mn |
| Dec 31, 2022 | 1.82 Mn |
| Sep 30, 2022 | 1.69 Mn |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | 1.65 Mn |
| Dec 31, 2021 | 1.20 Mn |
| Sep 30, 2021 | 2.11 Mn |
Marygold Companies Selling, General & Administrative 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=selling-general-and-administrative&ticker=MGLD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MGLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();