SolarMax Technology (SMXT) Selling, General & Administrative (2023 - 2026)
SolarMax Technology (SMXT) recorded Selling, General & Administrative of $2.56 million in Q2 2026, up 11.1% from $2.3 million a year earlier but down 12.0% from the prior quarter.
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Analysis
SolarMax Technology (SMXT) Selling, General & Administrative (2023 - 2026) Analysis & Trends
On a TTM basis, SolarMax Technology's Selling, General & Administrative came in at $10.83 million as of Jun 30, 2026, down 2.3% year-over-year; for FY2025, it was $10.16 million, down 63.0% from FY2024.
- Annual Selling, General & Administrative has a three-year compound annual growth rate of -10.9% (FY2022 to FY2025).
- Across earlier years, Selling, General & Administrative came in at $27.44 million in FY2024 (+188.6%), $9.51 million in FY2023 (-33.8%) and $14.37 million in FY2022.
- Quarterly Selling, General & Administrative has ranged from $1.29 million in Q1 2023 to $18.25 million in Q1 2024 over the past five years.
- On a year-over-year basis, Selling, General & Administrative rose in three of the last eight quarters, with an average decline of 10.4%.
- Peak year-over-year performance for Selling, General & Administrative in the last five years was growth of 30.1% in Q3 2024, against a decline of 86.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.91 million (Q1 2026), $2.44 million (Q4 2025) and $2.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Quanta Services | 82.97 Bn | 81.16 Bn | 1.55 Bn | 698.49 Mn |
| 2 | Ferrovial | 35.82 Bn | 16.13 Bn | - | - |
| 3 | Emcor | 29.22 Bn | 25.61 Bn | 1.02 Bn | 475.04 Mn |
| 4 | Jacobs Solutions | 17.13 Bn | 11.78 Bn | 810.70 Mn | 524.00 Mn |
| 5 | Mastec | 13.77 Bn | 12.68 Bn | 556.28 Mn | 206.47 Mn |
| 6 | Sterling Infrastructure | 11.44 Bn | 9.80 Bn | 289.96 Mn | 53.13 Mn |
| 7 | IES Holdings | 8.80 Bn | 7.66 Bn | 340.66 Mn | 162.17 Mn |
| 8 | Stantec | 8.31 Bn | 7.24 Bn | 1.36 Bn | 937.27 Mn |
| 9 | Aecom | 7.83 Bn | 3.16 Bn | -34.04 Mn | 34.37 Mn |
| 10 | SolarMax Technology | 21.34 Mn | 1.19 Mn | 2.41 Mn | 2.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.56 Mn |
| Mar 31, 2026 | 2.91 Mn |
| Dec 31, 2025 | 2.44 Mn |
| Sep 30, 2025 | 2.92 Mn |
| Jun 30, 2025 | 2.30 Mn |
| Mar 31, 2025 | 2.50 Mn |
| Dec 31, 2024 | 2.61 Mn |
| Sep 30, 2024 | 3.68 Mn |
| Jun 30, 2024 | 2.90 Mn |
| Mar 31, 2024 | 18.25 Mn |
| Dec 31, 2023 | 2.81 Mn |
| Sep 30, 2023 | 2.83 Mn |
| Jun 30, 2023 | 2.58 Mn |
| Mar 31, 2023 | 1.29 Mn |
API Access
SolarMax Technology 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=SMXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SMXT", "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=SMXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();