Questerre Net Income from 2010 to 2026

QEC Stock  CAD 0.25  0.03  10.71%   
Questerre Energy Net Loss yearly trend continues to be very stable with very little volatility. Net Loss is likely to drop to about -6.9 M. During the period from 2010 to 2026, Questerre Energy Net Loss quarterly data regression pattern had sample variance of 1502.1 T and median of (6,925,905). View All Fundamentals
 
Net Loss  
First Reported
2003-09-30
Previous Quarter
-677 K
Current Value
-5.3 M
Quarterly Volatility
16.7 M
 
Housing Crash
 
Credit Downgrade
 
Yuan Drop
 
Covid
 
Interest Hikes
Check Questerre Energy financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Questerre Energy's main balance sheet or income statement drivers, such as Depreciation And Amortization of 11.2 M, Interest Expense of 353.6 K or Selling General Administrative of 5 M, as well as many indicators such as Price To Sales Ratio of 2.88, Dividend Yield of 0.0 or PTB Ratio of 0.61. Questerre financial statements analysis is a perfect complement when working with Questerre Energy Valuation or Volatility modules.
  
This module can also supplement various Questerre Energy Technical models . Check out the analysis of Questerre Energy Correlation against competitors.
Evaluating Questerre Energy's Net Income across multiple reporting periods reveals the company's ability to sustain growth and manage resources effectively. This longitudinal analysis highlights inflection points, cyclical patterns, and structural changes that short-term snapshots might miss, offering deeper insight into Questerre Energy's fundamental strength.

Latest Questerre Energy's Net Income Growth Pattern

Below is the plot of the Net Income of Questerre Energy over the last few years. Net income is one of the most important fundamental items in finance. It plays a large role in Questerre Energy financial statement analysis. It represents the amount of money remaining after all of Questerre Energy operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue. It is Questerre Energy's Net Loss historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Questerre Energy's overall financial position and show how it may be relating to other accounts over time.
ViewLast Reported (7.33 M)10 Years Trend
Very volatile
   Net Income   
       Timeline  

Questerre Net Income Regression Statistics

Arithmetic Mean(14,682,065)
Geometric Mean12,083,427
Coefficient Of Variation(263.98)
Mean Deviation25,442,189
Median(6,925,905)
Standard Deviation38,757,452
Sample Variance1502.1T
Range183.3M
R-Value0.07
Mean Square Error1594T
R-Squared0.01
Significance0.78
Slope551,299
Total Sum of Squares24034.2T

Questerre Net Income History

2026-6.9 M
2025-6.6 M
2024-7.3 M
2023-23.7 M
202214.1 M
2021-4.3 M
2020-117.6 M

About Questerre Energy Financial Statements

Questerre Energy investors utilize fundamental indicators, such as Net Income, to predict how Questerre Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
Last ReportedProjected for Next Year
Net Loss-6.6 M-6.9 M
Net Loss-8.4 M-8.8 M
Net Loss-8.4 M-8.8 M
Net Loss(0.02)(0.02)
Net Income Per E B T 0.90  0.62 

Pair Trading with Questerre Energy

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 Questerre Energy 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 Questerre Energy will appreciate offsetting losses from the drop in the long position's value.

Moving against Questerre Stock

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  0.45BCE-PT Bce Inc PrefPairCorr
The ability to find closely correlated positions to Questerre Energy could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Questerre Energy 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 Questerre Energy - 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 Questerre Energy to buy it.
The correlation of Questerre Energy 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 Questerre Energy moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Questerre Energy 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 Questerre Energy 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.
Pair CorrelationCorrelation Matching

Other Information on Investing in Questerre Stock

Questerre Energy financial ratios help investors to determine whether Questerre Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Questerre with respect to the benefits of owning Questerre Energy security.