Smart Sand (SND) Total Non-Current Liabilities (2015 - 2026)
Smart Sand (SND) posted Total Non-Current Liabilities of $85.92 million for Q2 2026, up 2.9% from $83.5 million a year earlier and up 9.0% from the prior quarter.
Smart Sand (SND) Total Non-Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2025, Smart Sand's Total Non-Current Liabilities came in at $77.85 million, up 1.8% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -8.9% (FY2020 to FY2025).
- In prior years, Smart Sand's Total Non-Current Liabilities was $76.44 million in FY2024 (-9.1%), $84.11 million in FY2023 (-13.9%), $97.64 million in FY2022 (-16.3%) and $116.7 million in FY2021 (-5.8%).
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q1 2024.
- On a year-over-year basis, Total Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 0.7%.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q3 2025, with growth of 13.2%; the weakest was Q3 2023, with a decline of 27.1%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $78.79 million (Q1 2026), $77.85 million (Q4 2025) and $81.08 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | -46.26 Bn |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 9.29 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 15.71 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 3.99 Bn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 7.26 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 14.06 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 19.93 Bn |
| 10 | Smart Sand | 199.47 Mn | 142.18 Mn | 19.83 Mn | 85.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 85.92 Mn |
| Mar 31, 2026 | 78.79 Mn |
| Dec 31, 2025 | 77.85 Mn |
| Sep 30, 2025 | 81.08 Mn |
| Jun 30, 2025 | 83.50 Mn |
| Mar 31, 2025 | 85.41 Mn |
| Dec 31, 2024 | 76.44 Mn |
| Sep 30, 2024 | 71.59 Mn |
| Jun 30, 2024 | 78.53 Mn |
| Mar 31, 2024 | 86.56 Mn |
| Dec 31, 2023 | 84.11 Mn |
| Sep 30, 2023 | 80.80 Mn |
| Jun 30, 2023 | 90.51 Mn |
| Mar 31, 2023 | 108.41 Mn |
| Dec 31, 2022 | 97.64 Mn |
| Sep 30, 2022 | 110.83 Mn |
| Jun 30, 2022 | 112.64 Mn |
| Mar 31, 2022 | 105.96 Mn |
| Dec 31, 2021 | 116.70 Mn |
| Sep 30, 2021 | 114.86 Mn |
Smart Sand Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SND&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();