Solid Power (SLDP) Selling, General & Administrative (2021 - 2026)
Solid Power (SLDP) posted Selling, General & Administrative of $8.54 million for Q2 2026, up 29.2% from $6.61 million a year earlier and up 5.1% from the prior quarter.
Solid Power (SLDP) Selling, General & Administrative (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Solid Power was $31.14 million, up 3.3% year-over-year; for FY2025, it was $29.42 million, down 7.6% from FY2024.
- Annual Selling, General & Administrative shows a five-year compound annual growth rate of 88.8% (FY2020 to FY2025).
- In prior years, Solid Power's Selling, General & Administrative was $31.85 million in FY2024 (+24.6%), $25.55 million in FY2023 (+12.4%), $22.72 million in FY2022 (+301.8%) and $5.66 million in FY2021 (+360.9%).
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative since Q1 2024.
- On a year-over-year basis, Selling, General & Administrative increased in four of the last eight quarters, with growth averaging 4.6%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q1 2022, with growth of 573.7%; the weakest was Q2 2025, with a decline of 17.9%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $8.12 million (Q1 2026), $7.41 million (Q4 2025) and $7.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - | - |
| 10 | Solid Power | 529.42 Mn | 529.42 Mn | -1.85 Mn | 8.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.54 Mn |
| Mar 31, 2026 | 8.12 Mn |
| Dec 31, 2025 | 7.41 Mn |
| Sep 30, 2025 | 7.07 Mn |
| Jun 30, 2025 | 6.61 Mn |
| Mar 31, 2025 | 8.33 Mn |
| Dec 31, 2024 | 7.28 Mn |
| Sep 30, 2024 | 7.95 Mn |
| Jun 30, 2024 | 8.05 Mn |
| Mar 31, 2024 | 8.57 Mn |
| Dec 31, 2023 | 6.24 Mn |
| Sep 30, 2023 | 6.44 Mn |
| Jun 30, 2023 | 5.67 Mn |
| Mar 31, 2023 | 7.19 Mn |
| Dec 31, 2022 | 6.90 Mn |
| Sep 30, 2022 | 5.16 Mn |
| Jun 30, 2022 | 5.85 Mn |
| Mar 31, 2022 | 4.02 Mn |
| Dec 31, 2021 | -545,000.00 |
| Sep 30, 2021 | 3.27 Mn |
Solid Power 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=SLDP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "SLDP", "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=SLDP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();