Marygold Companies (MGLD) Operating Expenses (2010 - 2026)
Marygold Companies (MGLD) posted Operating Expenses of $10.31 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 80.2% from $5.72 million a year earlier and up 48.9% from the prior quarter.
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Analysis
Marygold Companies (MGLD) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Marygold Companies' Operating Expenses came in at $29.46 million, up 8.7% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 4.9% (FY2021 to FY2026).
- In prior fiscal years, Marygold Companies' Operating Expenses was $27.11 million in FY2025 (-10.8%), $30.37 million in FY2024 (+22.9%), $24.71 million in FY2023 (-5.9%) and $26.25 million in FY2022 (+13.2%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 3.1%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2026, with growth of 80.2%; the weakest was fiscal Q4 2025, with a decline of 34.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $6.93 million (Q3 2026), $6.29 million (Q2 2026) and $6.63 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | BlackRock | 178.19 Bn | 124.32 Bn | - | 4.62 Bn |
| 2 | Spdr Gold Trust | 137.10 Bn | -420.90 Bn | - | 149.76 Mn |
| 3 | Blackstone | 87.94 Bn | 77.92 Bn | - | 2.38 Bn |
| 4 | Brookfield | 84.29 Bn | -99.03 Bn | - | 14.94 Bn |
| 5 | Kkr | 80.45 Bn | 600.79 Mn | - | 5.41 Bn |
| 6 | Brookfield Asset Management | 73.60 Bn | 68.41 Bn | - | 659.00 Mn |
| 7 | Apollo Global Management | 66.12 Bn | -16.68 Bn | 10.56 Bn | 8.74 Bn |
| 8 | Wheaton Precious Metals | 59.86 Bn | 55.29 Bn | 687.86 Mn | 133.83 Mn |
| 9 | Franco Nevada | 46.95 Bn | 44.31 Bn | 451.00 Mn | 5.30 Mn |
| 10 | Marygold Companies | 84.62 Mn | 46.79 Mn | 6.46 Mn | 10.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.31 Mn |
| Mar 31, 2026 | 6.93 Mn |
| Dec 31, 2025 | 6.29 Mn |
| Sep 30, 2025 | 6.63 Mn |
| Jun 30, 2025 | 5.72 Mn |
| Mar 31, 2025 | 6.45 Mn |
| Dec 31, 2024 | 7.75 Mn |
| Sep 30, 2024 | 7.95 Mn |
| Jun 30, 2024 | 8.75 Mn |
| Mar 31, 2024 | 7.03 Mn |
| Dec 31, 2023 | 7.36 Mn |
| Sep 30, 2023 | 7.23 Mn |
| Jun 30, 2023 | 6.20 Mn |
| Mar 31, 2023 | 5.94 Mn |
| Dec 31, 2022 | 6.44 Mn |
| Sep 30, 2022 | 6.12 Mn |
| Jun 30, 2022 | 6.14 Mn |
| Mar 31, 2022 | 5.68 Mn |
| Dec 31, 2021 | 5.70 Mn |
| Sep 30, 2021 | 8.73 Mn |
API Access
Marygold Companies Operating 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=operating-expenses&ticker=MGLD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MGLD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();