Smart Sand (SND) Selling, General & Administrative (2015 - 2026)
Smart Sand's Selling, General & Administrative was $9.38 million in Q2 2026, up 3.0% from $9.11 million a year earlier but down 12.4% from the prior quarter.
Smart Sand (SND) Selling, General & Administrative (2015 - 2026) Analysis & Trends
On a trailing twelve-month basis, Smart Sand's Selling, General & Administrative was $42.26 million through Jun 30, 2026, up 13.3% year-over-year; for FY2025, it was $40.52 million, up 6.2% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 21.2% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $38.16 million in FY2024 (-1.4%), $38.72 million in FY2023 (+25.8%), $30.77 million in FY2022 (+116.8%) and $14.19 million in FY2021 (-8.6%).
- Quarterly Selling, General & Administrative has moved between $3.32 million (Q4 2021) and $18.9 million (Q4 2022) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for three straight quarters, with growth averaging 5.8% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2022 (growth of 469.7%); the worst was Q4 2023 (a decline of 46.6%).
- Per Business Quant data, SND's Selling, General & Administrative in the three quarters before Q2 2026 was $10.71 million (Q1 2026), $13.09 million (Q4 2025) and $9.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 153.11 Bn | 131.97 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | 82.00 Mn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | - |
| 10 | Smart Sand | 185.05 Mn | 127.77 Mn | 19.83 Mn | 9.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.38 Mn |
| Mar 31, 2026 | 10.71 Mn |
| Dec 31, 2025 | 13.09 Mn |
| Sep 30, 2025 | 9.09 Mn |
| Jun 30, 2025 | 9.11 Mn |
| Mar 31, 2025 | 9.24 Mn |
| Dec 31, 2024 | 9.24 Mn |
| Sep 30, 2024 | 9.70 Mn |
| Jun 30, 2024 | 8.87 Mn |
| Mar 31, 2024 | 10.35 Mn |
| Dec 31, 2023 | 10.09 Mn |
| Sep 30, 2023 | 8.92 Mn |
| Jun 30, 2023 | 8.95 Mn |
| Mar 31, 2023 | 10.76 Mn |
| Dec 31, 2022 | 18.90 Mn |
| Sep 30, 2022 | 4.01 Mn |
| Jun 30, 2022 | 3.81 Mn |
| Mar 31, 2022 | 4.05 Mn |
| Dec 31, 2021 | 3.32 Mn |
| Sep 30, 2021 | 3.87 Mn |
Smart Sand 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=SND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SND", "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=SND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();