1 800 Earnings Estimate
FLWS Stock | USD 8.69 0.05 0.58% |
FLWS |
1 800 Earnings Estimation Breakdown
The calculation of 1 800's earning per share is based on the data from the past 12 consecutive months, used for reporting the company's financial figures. The next projected EPS of 1 800 is estimated to be -0.24 with the future projection ranging from a low of -0.27 to a high of -0.22. Please be aware that this consensus of annual earnings estimates for 1 800 FLOWERSCOM is based on EPS before non-recurring items and includes expenses related to employee stock options.Last Reported EPS
-0.27 Lowest | Expected EPS | -0.22 Highest |
1 800 Earnings Projection Consensus
Suppose the current estimates of 1 800's value are higher than the current market price of the 1 800 stock. In this case, investors may conclude that 1 800 is overpriced and will exhibit bullish sentiment. On the other hand, if the present value is lower than the stock price, analysts may conclude that the market undervalues the equity. These scenarios may suggest that the market is not as efficient as it should be at the estimation time, and 1 800's stock will quickly adjusts to the new information provided by the consensus estimate.
Number of Analysts | Historical Accuracy | Last Reported EPS | Estimated EPS for 31st of March 2024 | Current EPS (TTM) | |
6 | 83.26% | 1.27 | -0.24 | -0.96 |
1 800 Earnings History
Earnings estimate consensus by 1 800 FLOWERSCOM analysts from Wall Street is used by the market to judge 1 800's stock performance. Investors also use these earnings estimates to evaluate and project the stock performance into the future in order to make their investment decisions. However, we recommend analyzing not only 1 800's upcoming profit reports and earnings-per-share forecasts but also comparing them to our different valuation methods.1 800 Quarterly Gross Profit |
|
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of 1 800's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
1 800 Earnings per Share Projection vs Actual
Actual Earning per Share of 1 800 refers to what the company shows during its earnings calls or quarterly reports. The Expected EPS is what analysts covering 1 800 FLOWERSCOM predict the company's earnings will be in the future. The higher the earnings per share of 1 800, the better is its profitability. While calculating the Earning per Share, we use the weighted ratio, as the number of shares outstanding can change over time.1 800 Estimated Months Earnings per Share
For an investor who is primarily interested in generating an income out of investing in entities such as 1 800, the EPS ratio can tell if the company is intending to increase its current dividend. Although EPS is an essential tool for investors, it should not be used in isolation. EPS of 1 800 should always be considered in relation to other companies to make a more educated investment decision.FLWS Quarterly Analyst Estimates and Surprise Metrics
Earnings surprises can significantly impact 1 800's stock price both in the short term and over time. Negative earnings surprises usually result in a price decline. However, it has been seen that positive earnings surprises lead to an immediate rise in a stock's price and a gradual increase over time. This is why we often hear news about some companies beating earning projections. Financial analysts spend a large amount of time predicting earnings per share (EPS) along with other important future indicators. Many analysts use forecasting models, management guidance, and additional fundamental information to derive an EPS estimate.
Reported | Fiscal Date | Estimated EPS | Reported EPS | Surprise | |||
---|---|---|---|---|---|---|---|
2024-02-01 | 2023-12-31 | 1.22 | 1.27 | 0.05 | 4 | ||
2023-11-02 | 2023-09-30 | -0.54 | -0.48 | 0.06 | 11 | ||
2023-08-31 | 2023-06-30 | -0.32 | -0.28 | 0.04 | 12 | ||
2023-05-11 | 2023-03-31 | -0.36 | -0.27 | 0.09 | 25 | ||
2023-02-02 | 2022-12-31 | 0.95 | 1.28 | 0.33 | 34 | ||
2022-11-03 | 2022-09-30 | -0.54 | -0.52 | 0.02 | 3 | ||
2022-09-01 | 2022-06-30 | -0.26 | -0.34 | -0.08 | 30 | ||
2022-04-28 | 2022-03-31 | -0.28 | -0.32 | -0.04 | 14 | ||
2022-01-27 | 2021-12-31 | 1.79 | 1.34 | -0.45 | 25 | ||
2021-10-28 | 2021-09-30 | -0.25 | -0.2 | 0.05 | 20 | ||
2021-08-26 | 2021-06-30 | 0.19 | 0.2 | 0.01 | 5 | ||
2021-04-29 | 2021-03-31 | -0.09 | 0.02 | 0.11 | 122 | ||
2021-01-28 | 2020-12-31 | 1.39 | 1.72 | 0.33 | 23 | ||
2020-10-29 | 2020-09-30 | -0.13 | -0.1 | 0.03 | 23 | ||
2020-08-27 | 2020-06-30 | 0.19 | 0.2 | 0.01 | 5 | ||
2020-04-30 | 2020-03-31 | -0.17 | -0.14 | 0.03 | 17 | ||
2020-01-30 | 2019-12-31 | 1.08 | 1.12 | 0.04 | 3 | ||
2019-10-31 | 2019-09-30 | -0.28 | -0.24 | 0.04 | 14 | ||
2019-08-22 | 2019-06-30 | -0.14 | -0.13 | 0.01 | 7 | ||
2019-04-30 | 2019-03-31 | -0.18 | -0.13 | 0.05 | 27 | ||
2019-01-31 | 2018-12-31 | 0.97 | 1.04 | 0.07 | 7 | ||
2018-11-01 | 2018-09-30 | -0.29 | -0.27 | 0.02 | 6 | ||
2018-08-23 | 2018-06-30 | -0.13 | -0.12 | 0.01 | 7 | ||
2018-05-01 | 2018-03-31 | -0.12 | -0.13 | -0.01 | 8 | ||
2018-01-31 | 2017-12-31 | 0.88 | 0.88 | 0.0 | 0 | ||
2017-10-31 | 2017-09-30 | -0.21 | -0.2 | 0.01 | 4 | ||
2017-08-24 | 2017-06-30 | -0.09 | -0.11 | -0.02 | 22 | ||
2017-05-02 | 2017-03-31 | -0.18 | -0.17 | 0.01 | 5 | ||
2017-01-31 | 2016-12-31 | 0.94 | 0.93 | -0.01 | 1 | ||
2016-11-02 | 2016-09-30 | -0.24 | -0.24 | 0.0 | 0 | ||
2016-08-25 | 2016-06-30 | -0.14 | -0.14 | 0.0 | 0 | ||
2016-04-26 | 2016-03-31 | -0.14 | -0.14 | 0.0 | 0 | ||
2016-01-28 | 2015-12-31 | 0.89 | 0.92 | 0.03 | 3 | ||
2015-11-03 | 2015-09-30 | -0.25 | -0.22 | 0.03 | 12 | ||
2015-08-27 | 2015-06-30 | -0.14 | -0.13 | 0.01 | 7 | ||
2015-04-28 | 2015-03-31 | -0.19 | -0.13 | 0.06 | 31 | ||
2015-02-02 | 2014-12-31 | 0.8 | 0.83 | 0.03 | 3 | ||
2014-10-28 | 2014-09-30 | -0.06 | -0.06 | 0.0 | 0 | ||
2014-09-11 | 2014-06-30 | 0.05 | 0.05 | 0.0 | 0 | ||
2014-04-29 | 2014-03-31 | -0.02 | -0.02 | 0.0 | 0 | ||
2014-01-29 | 2013-12-31 | 0.27 | 0.27 | 0.0 | 0 | ||
2013-10-29 | 2013-09-30 | -0.07 | -0.07 | 0.0 | 0 | ||
2013-04-30 | 2013-03-31 | 0.04 | 0.04 | 0.0 | 0 | ||
2013-01-31 | 2012-12-31 | 0.24 | 0.24 | 0.0 | 0 | ||
2012-10-25 | 2012-09-30 | -0.07 | -0.07 | 0.0 | 0 | ||
2012-08-23 | 2012-06-30 | 0.01 | 0.02 | 0.01 | 100 | ||
2012-05-03 | 2012-03-31 | -0.02 | -0.0013 | 0.0187 | 93 | ||
2012-01-26 | 2011-12-31 | 0.23 | 0.22 | -0.01 | 4 | ||
2011-10-27 | 2011-09-30 | -0.09 | -0.08 | 0.01 | 11 | ||
2011-08-30 | 2011-06-30 | 0.01 | -1.0E-4 | -0.0101 | 101 | ||
2011-04-21 | 2011-03-31 | -0.08 | -0.04 | 0.04 | 50 | ||
2011-01-27 | 2010-12-31 | 0.17 | 0.21 | 0.04 | 23 | ||
2010-10-21 | 2010-09-30 | -0.1 | -0.08 | 0.02 | 20 | ||
2010-08-19 | 2010-06-30 | 0.01 | -0.02 | -0.03 | 300 | ||
2010-04-28 | 2010-03-31 | -0.02 | -0.09 | -0.07 | 350 | ||
2010-01-28 | 2009-12-31 | 0.2 | 0.2 | 0.0 | 0 | ||
2009-10-22 | 2009-09-30 | -0.1 | -0.09 | 0.01 | 10 | ||
2009-08-20 | 2009-06-30 | -0.02 | -0.04 | -0.02 | 100 | ||
2009-04-30 | 2009-03-31 | -0.06 | -0.06 | 0.0 | 0 | ||
2009-01-29 | 2008-12-31 | 0.33 | 0.23 | -0.1 | 30 | ||
2008-10-23 | 2008-09-30 | -0.11 | -0.08 | 0.03 | 27 | ||
2008-08-07 | 2008-06-30 | 0.04 | 0.07 | 0.03 | 75 | ||
2008-04-24 | 2008-03-31 | 0.04 | 0.05 | 0.01 | 25 | ||
2008-01-24 | 2007-12-31 | 0.27 | 0.29 | 0.02 | 7 | ||
2007-10-23 | 2007-09-30 | -0.09 | -0.09 | 0.0 | 0 | ||
2007-08-08 | 2007-06-30 | 0.08 | 0.1 | 0.02 | 25 | ||
2007-01-24 | 2006-12-31 | 0.25 | 0.26 | 0.01 | 4 | ||
2006-10-26 | 2006-09-30 | -0.12 | -0.11 | 0.01 | 8 | ||
2006-08-10 | 2006-06-30 | 0.07 | 0.02 | -0.05 | 71 | ||
2006-04-27 | 2006-03-31 | -0.01 | -0.02 | -0.01 | 100 | ||
2006-01-26 | 2005-12-31 | 0.2 | 0.16 | -0.04 | 20 | ||
2005-10-27 | 2005-09-30 | -0.1 | -0.1 | 0.0 | 0 | ||
2005-08-11 | 2005-06-30 | 0.06 | 0.06 | 0.0 | 0 | ||
2005-01-18 | 2004-12-31 | 0.13 | 0.13 | 0.0 | 0 | ||
2004-10-21 | 2004-09-30 | -0.04 | -0.04 | 0.0 | 0 | ||
2004-08-05 | 2004-06-30 | 0.15 | 0.16 | 0.01 | 6 | ||
2004-04-22 | 2004-03-31 | 0.03 | 0.03 | 0.0 | 0 | ||
2004-01-20 | 2003-12-31 | 0.2 | 0.2 | 0.0 | 0 | ||
2003-10-23 | 2003-09-30 | -0.09 | -0.08 | 0.01 | 11 | ||
2003-08-06 | 2003-06-30 | 0.12 | 0.12 | 0.0 | 0 | ||
2003-04-22 | 2003-03-31 | 0.02 | 0.02 | 0.0 | 0 | ||
2003-01-22 | 2002-12-31 | 0.15 | 0.15 | 0.0 | 0 | ||
2002-10-22 | 2002-09-30 | -0.1 | -0.11 | -0.01 | 10 | ||
2002-08-07 | 2002-06-30 | 0.06 | 0.08 | 0.02 | 33 | ||
2002-04-24 | 2002-03-31 | -0.02 | 0.0024 | 0.0224 | 112 | ||
2002-01-23 | 2001-12-31 | 0.03 | 0.03 | 0.0 | 0 | ||
2001-10-24 | 2001-09-30 | -0.16 | -0.14 | 0.02 | 12 | ||
2001-08-16 | 2001-06-30 | -0.04 | 0.02 | 0.06 | 150 | ||
2001-04-26 | 2001-03-31 | -0.15 | -0.13 | 0.02 | 13 | ||
2001-01-24 | 2000-12-31 | -0.17 | -0.16 | 0.01 | 5 | ||
2000-10-24 | 2000-09-30 | -0.29 | -0.24 | 0.05 | 17 | ||
2000-08-23 | 2000-06-30 | -0.25 | -0.17 | 0.08 | 32 | ||
2000-04-26 | 2000-03-31 | -0.32 | -0.31 | 0.01 | 3 | ||
2000-01-26 | 1999-12-31 | -0.34 | -0.28 | 0.06 | 17 | ||
1999-10-27 | 1999-09-30 | -0.35 | -0.28 | 0.07 | 20 |
About 1 800 Earnings Estimate
The earnings estimate module is a useful tool to check what professional financial analysts are assuming about the future of 1 800 earnings. We show available consensus EPS estimates for the upcoming years and quarters. Investors can also examine how these consensus opinions have evolved historically. We show current 1 800 estimates, future projections, as well as estimates 1, 2, and three years ago. Investors can search for a specific entity to conduct investment planning and build diversified portfolios. Please note, earnings estimates provided by Macroaxis are the average expectations of expert analysts that we track. If a given stock such as 1 800 fails to match professional earnings estimates, it usually performs purely. Wall Street refers to that as a 'negative surprise.' If a company 'beats' future estimates, it's usually called an 'upside surprise.'
Please read more on our stock advisor page.Last Reported | Projected for Next Year | ||
Retained Earnings | 311.7 M | 327.3 M | |
Retained Earnings Total Equity | 363.2 M | 381.3 M | |
Earnings Yield | 0.03 | 0.03 | |
Price Earnings Ratio | 35.74 | 37.52 | |
Price Earnings To Growth Ratio | (2.50) | (2.38) |
1 800 Investors Sentiment
The influence of 1 800's investor sentiment on the probability of its price appreciation or decline could be a good factor in your decision-making process regarding taking a position in FLWS. The overall investor sentiment generally increases the direction of a stock movement in a one-year investment horizon. However, the impact of investor sentiment on the entire stock market does not have solid backing from leading economists and market statisticians.
Investor biases related to 1 800's public news can be used to forecast risks associated with an investment in FLWS. The trend in average sentiment can be used to explain how an investor holding FLWS can time the market purely based on public headlines and social activities around 1 800 FLOWERSCOM. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
1 800's market sentiment shows the aggregated news analyzed to detect positive and negative mentions from the text and comments. The data is normalized to provide daily scores for 1 800's and other traded tickers. The bigger the bubble, the more accurate is the estimated score. Higher bars for a given day show more participation in the average 1 800's news discussions. The higher the estimated score, the more favorable is the investor's outlook on 1 800.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards 1 800 in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, 1 800's short interest history, or implied volatility extrapolated from 1 800 options trading.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in 1 800 FLOWERSCOM. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in housing. You can also try the Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
Complementary Tools for FLWS Stock analysis
When running 1 800's price analysis, check to measure 1 800'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 1 800 is operating at the current time. Most of 1 800's value examination focuses on studying past and present price action to predict the probability of 1 800's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move 1 800's price. Additionally, you may evaluate how the addition of 1 800 to your portfolios can decrease your overall portfolio volatility.
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Commodity Directory Find actively traded commodities issued by global exchanges | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account |
Is 1 800's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of 1 800. If investors know FLWS will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about 1 800 listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.24) | Earnings Share (0.96) | Revenue Per Share 29.44 | Quarterly Revenue Growth (0.08) | Return On Assets 0.015 |
The market value of 1 800 FLOWERSCOM is measured differently than its book value, which is the value of FLWS that is recorded on the company's balance sheet. Investors also form their own opinion of 1 800's value that differs from its market value or its book value, called intrinsic value, which is 1 800's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because 1 800's market value can be influenced by many factors that don't directly affect 1 800's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between 1 800's value and its price as these two are different measures arrived at by different means. Investors typically determine if 1 800 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, 1 800's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.