Solid Change To Inventory vs Depreciation Analysis
| SLDP Stock | USD 6.86 0.11 1.63% |
Solid Power financial indicator trend analysis is much more than just breaking down Solid Power prevalent accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Solid Power is a good investment. Please check the relationship between Solid Power Change To Inventory and its Depreciation accounts. Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Solid Power. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in services. To learn how to invest in Solid Stock, please use our How to Invest in Solid Power guide.
Change To Inventory vs Depreciation
Change To Inventory vs Depreciation Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Solid Power Change To Inventory account and Depreciation. At this time, the significance of the direction appears to have almost identical trend.
The correlation between Solid Power's Change To Inventory and Depreciation is 0.9. Overlapping area represents the amount of variation of Change To Inventory that can explain the historical movement of Depreciation in the same time period over historical financial statements of Solid Power, assuming nothing else is changed. The correlation between historical values of Solid Power's Change To Inventory and Depreciation is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Change To Inventory of Solid Power are associated (or correlated) with its Depreciation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Depreciation has no effect on the direction of Change To Inventory i.e., Solid Power's Change To Inventory and Depreciation go up and down completely randomly.
Correlation Coefficient | 0.9 |
| Relationship Direction | Positive |
| Relationship Strength | Very Strong |
Change To Inventory
The increase or decrease in the amount of inventory a company has over a certain period.Depreciation
Depreciation indicates how much of Solid Power value has been used up. For tax purposes Solid Power can deduct the cost of the tangible assets it purchases as business expenses. However, Solid Power must depreciate these assets in accordance with IRS rules about how and when the deduction may be taken, and how long it will last. The systematic allocation of the cost of a tangible asset over its useful life.Most indicators from Solid Power's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Solid Power current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Solid Power. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in services. To learn how to invest in Solid Stock, please use our How to Invest in Solid Power guide.At this time, Solid Power's Tax Provision is relatively stable compared to the past year. As of 11/08/2025, Selling General Administrative is likely to grow to about 33.4 M, while Enterprise Value Over EBITDA is likely to drop (4.36).
| 2022 | 2023 | 2024 | 2025 (projected) | Depreciation And Amortization | 5.9M | 12.7M | 17.4M | 18.2M | Interest Income | 4.7M | 15.4M | 17.7M | 18.6M |
Solid Power fundamental ratios Correlations
Click cells to compare fundamentals
Solid Power Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Solid Power fundamental ratios Accounts
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 (projected) | ||
| Total Assets | 14.2M | 617.7M | 594.4M | 532.8M | 448.3M | 408.5M | |
| Short Long Term Debt Total | 6.3M | 130K | 10.1M | 9.6M | 9.4M | 7.7M | |
| Other Current Liab | 407K | 3.4M | 5.0M | 7.6M | 7.6M | 4.5M | |
| Total Current Liabilities | 1.8M | 8.4M | 20.7M | 15.9M | 20.0M | 12.6M | |
| Total Stockholder Equity | 3.9M | 558.7M | 555.4M | 503.3M | 410.3M | 374.8M | |
| Property Plant And Equipment Net | 8.5M | 22.1M | 91.4M | 107.4M | 105.6M | 63.1M | |
| Current Deferred Revenue | 38.4K | 500K | 4.1M | 829K | 3.2M | 1.7M | |
| Net Debt | 1.4M | (513.3M) | (40.1M) | (25.0M) | (16.0M) | (16.8M) | |
| Retained Earnings | (105.3M) | (9.5M) | (19.1M) | (84.6M) | (181.2M) | (172.1M) | |
| Accounts Payable | 202K | 4.3M | 10.1M | 6.5M | 8.1M | 5.4M | |
| Cash | 5.0M | 513.4M | 50.1M | 34.5M | 25.4M | 24.1M | |
| Non Current Assets Total | 8.7M | 23.3M | 266.6M | 349.7M | 323.0M | 179.9M | |
| Non Currrent Assets Other | (8.7M) | 602K | (1.6M) | 1.1M | 5.0M | 5.2M | |
| Cash And Short Term Investments | 5.0M | 589.3M | 323.1M | 176.0M | 118.2M | 224.1M | |
| Net Receivables | 277K | 829K | 1.8M | 1.6M | 1.4M | 1.1M | |
| Liabilities And Stockholders Equity | 14.2M | 617.7M | 594.4M | 532.8M | 448.3M | 408.5M | |
| Non Current Liabilities Total | 8.5M | 50.6M | 18.3M | 13.6M | 18.0M | 21.1M | |
| Other Current Assets | 227K | 4.2M | 2.9M | 5.5M | 5.6M | 3.4M | |
| Other Stockholder Equity | 63.0M | 568.2M | 577.6M | 588.5M | 591.4M | 437.9M | |
| Total Liab | 10.3M | 59.0M | 39.1M | 29.5M | 37.9M | 33.7M | |
| Net Invested Capital | (99.0M) | 558.8M | 555.4M | 503.3M | 410.3M | 351.8M | |
| Property Plant And Equipment Gross | 12.6M | 28.6M | 91.4M | 130.9M | 145.3M | 77.1M | |
| Total Current Assets | 5.5M | 594.4M | 327.8M | 183.1M | 125.2M | 228.6M | |
| Non Current Liabilities Other | 320.1K | 50.4M | 18.3M | 803K | 942K | 894.9K | |
| Net Working Capital | 3.6M | 586.0M | 307.1M | 167.2M | 105.3M | 100.0M | |
| Short Term Debt | 1.2M | 120K | 1.7M | 1.0M | 1.1M | 1.1M | |
| Intangible Assets | 248.2K | 619K | 1.1M | 1.7M | 2.1M | 1.1M |
Pair Trading with Solid Power
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Solid Power position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Solid Power will appreciate offsetting losses from the drop in the long position's value.Moving against Solid Stock
| 0.68 | AZ | A2Z Smart Technologies | PairCorr |
| 0.67 | 0ACC | Accelleron Industries | PairCorr |
| 0.45 | HY | Hyster Yale Materials | PairCorr |
| 0.41 | IR | Ingersoll Rand | PairCorr |
| 0.36 | BRCK | Brickability Group Plc | PairCorr |
The ability to find closely correlated positions to Solid Power could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Solid Power when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Solid Power - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Solid Power to buy it.
The correlation of Solid Power is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Solid Power moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Solid Power moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Solid Power can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Solid Stock Analysis
When running Solid Power's price analysis, check to measure Solid Power's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Solid Power is operating at the current time. Most of Solid Power's value examination focuses on studying past and present price action to predict the probability of Solid Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Solid Power's price. Additionally, you may evaluate how the addition of Solid Power to your portfolios can decrease your overall portfolio volatility.