HG Holdings (STLY) Operating Expenses (2010 - 2026)
HG Holdings (STLY) posted Operating Expenses of $3.29 million for Q2 2026, down 0.9% from $3.32 million a year earlier but up 1.0% from the prior quarter.
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Analysis
HG Holdings (STLY) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at HG Holdings was $13.03 million, up 816.6% year-over-year; for FY2025, it was $12.97 million, up 3.1% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 58.3% (FY2020 to FY2025).
- In prior years, HG Holdings' Operating Expenses was $12.58 million in FY2024 (-3.2%), $12.99 million in FY2023 (-49.3%), $25.63 million in FY2022 (+674.4%) and $3.31 million in FY2021 (+153.8%).
- Quarterly Operating Expenses has run from a low of -$15.56 million in Q4 2024 to a high of $10.56 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last five quarters, with growth averaging 5.4%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 787.1%; the weakest was Q2 2024, with a decline of 63.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $3.26 million (Q1 2026), $10.56 million (Q4 2025) and -$4.08 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Berkshire Hathaway | 1,083.21 Bn | -334.26 Bn | 55.86 Bn | 86.07 Bn |
| 2 | Chubb | 127.58 Bn | 79.64 Bn | 9.13 Bn | 12.19 Bn |
| 3 | Progressive | 122.25 Bn | 98.08 Bn | 9.04 Bn | 19.40 Bn |
| 4 | Marsh & Mclennan Companies | 81.29 Bn | 73.03 Bn | - | 5.51 Bn |
| 5 | Travelers Companies | 75.19 Bn | 51.44 Bn | 6.23 Bn | 9.39 Bn |
| 6 | Manulife Financial | 73.16 Bn | 74.37 Bn | - | -902.21 Mn |
| 7 | Metlife | 60.22 Bn | -46.26 Bn | 7.82 Bn | 18.12 Bn |
| 8 | Arthur J. Gallagher | 57.98 Bn | 52.41 Bn | - | 3.59 Bn |
| 9 | Aon | 57.16 Bn | 50.40 Bn | - | 3.33 Bn |
| 10 | HG Holdings | 17.66 Mn | -26.13 Mn | 4.28 Mn | 3.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.29 Mn |
| Mar 31, 2026 | 3.26 Mn |
| Dec 31, 2025 | 10.56 Mn |
| Sep 30, 2025 | -4.08 Mn |
| Jun 30, 2025 | 3.32 Mn |
| Mar 31, 2025 | 3.17 Mn |
| Dec 31, 2024 | -15.56 Mn |
| Sep 30, 2024 | 10.49 Mn |
| Jun 30, 2024 | 3.15 Mn |
| Mar 31, 2024 | 3.08 Mn |
| Dec 31, 2023 | -12.04 Mn |
| Sep 30, 2023 | 8.99 Mn |
| Jun 30, 2023 | 8.53 Mn |
| Mar 31, 2023 | 7.51 Mn |
| Dec 31, 2022 | 7.53 Mn |
| Sep 30, 2022 | 6.33 Mn |
| Jun 30, 2022 | 2.27 Mn |
| Mar 31, 2022 | 2.14 Mn |
| Dec 31, 2021 | 1.73 Mn |
| Sep 30, 2021 | 983,000.00 |
API Access
HG Holdings 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=STLY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "STLY", "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=STLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();