SolarMax Technology (SMXT) Price to Sales (2024 - 2026)
SolarMax Technology's (SMXT) Price to Sales stood at 0.40 in Q1 2026, down 82.3% from 2.28 a year earlier and down 18.6% from the prior quarter.
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Analysis
SolarMax Technology (SMXT) Price to Sales (2024 - 2026) Analysis & Trends
For FY2025, SolarMax Technology's Price to Sales came in at 0.50, down 84.5% from FY2024.
- Across earlier years, Price to Sales came in at 3.19 in FY2024.
- The Q1 2026 figure is the lowest quarterly Price to Sales in data going back to Q1 2024.
- On a year-over-year basis, Price to Sales rose in 1 of the last five quarters, with an average decline of 55.7%.
- Per Business Quant, the preceding three quarters came in at 0.50 (Q4 2025), 1.12 (Q3 2025) and 1.99 (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Quanta Services | 99.60 Bn | 97.78 Bn | 1.55 Bn |
| 2 | Ferrovial | 38.15 Bn | 18.74 Bn | - |
| 3 | Emcor | 34.02 Bn | 30.41 Bn | 1.02 Bn |
| 4 | Mastec | 17.16 Bn | 16.07 Bn | 556.28 Mn |
| 5 | Jacobs Solutions | 16.37 Bn | 11.02 Bn | 810.70 Mn |
| 6 | Sterling Infrastructure | 15.50 Bn | 13.86 Bn | 289.96 Mn |
| 7 | IES Holdings | 13.16 Bn | 12.02 Bn | 340.66 Mn |
| 8 | Dycom Industries | 8.09 Bn | 7.23 Bn | - |
| 9 | Aecom | 7.67 Bn | 3.00 Bn | -34.04 Mn |
| 10 | SolarMax Technology | 10.01 Mn | -9.90 Mn | 3.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.40 |
| Dec 31, 2025 | 0.50 |
| Sep 30, 2025 | 1.12 |
| Jun 30, 2025 | 1.99 |
| Mar 31, 2025 | 2.28 |
| Dec 31, 2024 | 3.19 |
| Sep 30, 2024 | 0.99 |
| Jun 30, 2024 | 4.03 |
| Mar 31, 2024 | 8.75 |
API Access
SolarMax Technology Price to Sales 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=price-to-sales&ticker=SMXT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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=price-to-sales&ticker=SMXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();