Solid Power (SLDPW) Operating Expenses (2021 - 2026)
Solid Power (SLDPW) posted Operating Expenses of $30.02 million for Q2 2026, down 10.1% from $33.41 million a year earlier but up 2.0% from the prior quarter.
Solid Power (SLDPW) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Solid Power was $118.56 million, down 5.3% year-over-year; for FY2025, it was $122.58 million, down 2.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 55.0% (FY2020 to FY2025).
- In prior years, Solid Power's Operating Expenses was $125.47 million in FY2024 (+16.1%), $108.03 million in FY2023 (+52.4%), $70.91 million in FY2022 (+142.4%) and $29.26 million in FY2021 (+113.6%).
- Quarterly Operating Expenses has run from a low of $8.77 million in Q4 2021 to a high of $33.41 million in Q2 2025 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average year-over-year change of 0.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 183.0%; the weakest was Q2 2026, with a decline of 10.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $29.42 million (Q1 2026), $30.14 million (Q4 2025) and $28.98 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.02 Mn |
| Mar 31, 2026 | 29.42 Mn |
| Dec 31, 2025 | 30.14 Mn |
| Sep 30, 2025 | 28.98 Mn |
| Jun 30, 2025 | 33.41 Mn |
| Mar 31, 2025 | 30.05 Mn |
| Dec 31, 2024 | 29.48 Mn |
| Sep 30, 2024 | 32.24 Mn |
| Jun 30, 2024 | 32.01 Mn |
| Mar 31, 2024 | 31.73 Mn |
| Dec 31, 2023 | 27.98 Mn |
| Sep 30, 2023 | 27.86 Mn |
| Jun 30, 2023 | 27.08 Mn |
| Mar 31, 2023 | 25.11 Mn |
| Dec 31, 2022 | 21.71 Mn |
| Sep 30, 2022 | 18.41 Mn |
| Jun 30, 2022 | 17.28 Mn |
| Mar 31, 2022 | 13.51 Mn |
| Dec 31, 2021 | 8.77 Mn |
| Sep 30, 2021 | 9.11 Mn |
Solid Power Operating Expenses 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=operating-expenses&ticker=SLDPW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SLDPW", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=SLDPW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();