Smart Sand (SND) Price to Earnings (2016 - 2026)
Smart Sand's (SND) Price to Earnings stood at 18.61 in Q2 2026, down 80.8% from 96.76 a year earlier but up 100.5% from the prior quarter.
Analysis
Smart Sand (SND) Price to Earnings (2016 - 2026) Analysis & Trends
For FY2025, Smart Sand's Price to Earnings came in at 115.82, up 294.2% from FY2024.
- Across earlier years, Price to Earnings came in at 29.38 in FY2024 (+83.9%) and 15.98 in FY2023.
- Quarterly Price to Earnings has ranged from 7.37 in Q3 2023 to 115.82 in Q4 2025 over the past five years.
- On a year-over-year basis, Price to Earnings rose in three of the last four quarters, with growth averaging 87.6%.
- Per Business Quant, the preceding three quarters came in at 9.28 (Q1 2026), 115.82 (Q4 2025) and 21.33 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - |
| 10 | Smart Sand | 201.03 Mn | 143.74 Mn | 19.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.61 |
| Mar 31, 2026 | 9.28 |
| Dec 31, 2025 | 115.82 |
| Sep 30, 2025 | 21.33 |
| Jun 30, 2025 | 96.76 |
| Dec 31, 2024 | 29.38 |
| Jun 30, 2024 | 63.17 |
| Mar 31, 2024 | 9.20 |
| Dec 31, 2023 | 15.98 |
| Sep 30, 2023 | 7.37 |
| Jun 30, 2023 | 7.80 |
| Mar 31, 2023 | 41.22 |
| Jun 30, 2021 | 62.78 |
| Mar 31, 2021 | 3.09 |
| Dec 31, 2020 | 1.88 |
| Sep 30, 2020 | 1.25 |
| Jun 30, 2020 | 2.34 |
| Mar 31, 2020 | 1.50 |
| Dec 31, 2019 | 3.21 |
| Sep 30, 2019 | 4.59 |
API Access
Smart Sand Price to Earnings 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-earnings&ticker=SND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=SND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();