Solid Power (SLDP) Total Non-Current Liabilities (2020 - 2026)
Solid Power's Total Non-Current Liabilities came in at $7.71 million for Q2 2026, down 48.0% from $14.83 million a year earlier and down 36.9% from the prior quarter.
Solid Power (SLDP) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Solid Power's Total Non-Current Liabilities was $22.12 million, up 23.1% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 24.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $17.97 million in FY2024 (+32.3%), $13.58 million in FY2023 (-54.7%), $29.96 million in FY2022 (+233.0%) and $9 million in FY2021 (+19.6%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q4 2020.
- Year-over-year, Total Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 0.7%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2022 (growth of 233.0%), and the weakest in Q4 2023 (a decline of 54.7%).
- Business Quant data shows SLDP's Total Non-Current Liabilities at $12.22 million (Q1 2026), $22.12 million (Q4 2025) and $18.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 46.26 Bn |
| 2 | Southern Copper | 151.65 Bn | 130.43 Bn | 2.90 Bn | 9.29 Bn |
| 3 | Rio Tinto | 136.14 Bn | 96.64 Bn | - | 46.15 Bn |
| 4 | Newmont | 120.44 Bn | 88.44 Bn | 4.03 Bn | 15.38 Bn |
| 5 | Freeport-Mcmoran | 92.45 Bn | 76.49 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 88.41 Bn | 78.04 Bn | 2.43 Bn | 7.26 Bn |
| 7 | Barrick Mining | 65.88 Bn | 41.08 Bn | 2.90 Bn | 23.61 Bn |
| 8 | Nucor | 58.65 Bn | 48.03 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 45.83 Bn | 24.85 Bn | - | 19.93 Bn |
| 10 | Solid Power | 453.08 Mn | -546.76 Mn | -1.85 Mn | 7.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.71 Mn |
| Mar 31, 2026 | 12.22 Mn |
| Dec 31, 2025 | 22.12 Mn |
| Sep 30, 2025 | 18.03 Mn |
| Jun 30, 2025 | 14.83 Mn |
| Mar 31, 2025 | 11.85 Mn |
| Dec 31, 2024 | 17.97 Mn |
| Sep 30, 2024 | 11.08 Mn |
| Jun 30, 2024 | 12.90 Mn |
| Mar 31, 2024 | 18.56 Mn |
| Dec 31, 2023 | 13.58 Mn |
| Sep 30, 2023 | 20.68 Mn |
| Jun 30, 2023 | 21.91 Mn |
| Mar 31, 2023 | 21.61 Mn |
| Dec 31, 2022 | 29.96 Mn |
| Dec 31, 2021 | 8.60 Mn |
| Sep 30, 2021 | 192.04 Mn |
| Jun 30, 2021 | 175.78 Mn |
| Mar 31, 2021 | 325.52 Mn |
| Dec 31, 2020 | 7.20 Mn |
Solid Power 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=SLDP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SLDP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();