FSS — Federal Signal Corporation USA

IndustrialsPollution & Treatment Controls

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Currency in USD
Key statistics
Basic
Not enough data for Risks (Volatility).
Not enough data for Beta calculations.
Market capital
$1.53B
Employees
3,300
Money
Not enough data for Earnings per share statistics.
Not enough data for Book Value calculations.
Wall Street price
$29.33
PE Ratio
15.77
Dividends
$0.32
Volume & Social
Short Ratio
2.35%
Daily Volume
148,100
Volume
Below average
Social Rate
Untracked
Social Volume
Untracked
 
Latest FSS news
[[ item.source ]] - [[ item.pubDate | date:'MMM d, y @ h:mma' ]]
[[ item.description ]]
Invest ideas
8 ideas for buy
$0.32
Pays dividends
Fundamental signal
The company shares profit with stakeholders
15.25%
Wall Street Higher
Fundamental signal
The price is expected to raise
$1.61
Earnings are positive
Fundamental signal
Earnings per share are positive
8.25x
EPS higher than industry
Fundamental signal
Earnings Per Share Ratio is higher than industry average.
26.86x
EPS higher than sector
Fundamental signal
Earnings Per Share Ratio is higher than sector.
-23.28%
Short Ratio lower than industry
Fundamental signal
Short Interest Ratio is lower than industry.
-8.37%
Sector cheaply
Fundamental signal
PE Ratio lower than sector.
6.07%
Above SMA 200
Technical signal
The price is above SMA for 200 days period
4 ideas for sell
1.51x
PB Ratio higher than sector
Fundamental signal
Price-to-Book is higher than sector.
1.51x
PB Ratio higher than industry
Fundamental signal
Price-to-Book Ratio is higher than industry.
3.71%
Short Ratio higher than sector
Fundamental signal
Short Interest Ratio is higher than sector.
208.40%
Industry costly
Fundamental signal
PE Ratio is higher than industry.
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Income Statement
All numbers in thousands [[fin.date | strtotimestamp | date: 'MMM d, yyyy']]
Revenue
Total Revenue [[fin.totalRevenue / 1000 | number : 0]]
Cost of Revenue [[fin.costOfRevenue / 1000 | number : 0]]
Gross Profit [[fin.grossProfit / 1000 | number : 0]]
Operating Expenses
Research Development [[fin.researchDevelopment / 1000 | number : 0]]
Selling General and Administrative [[fin.sellingGeneralAdministrative / 1000 | number : 0]]
Non Recurring [[fin.nonRecurring / 1000 | number : 0]]
Others [[fin.otherOperatingExpenses / 1000 | number : 0]]
Total Operating Expenses [[fin.totalOperatingExpenses / 1000 | number : 0]]
Operating Income or Loss [[fin.operatingIncome / 1000 | number : 0]]
Income from Continuing Operations
Total Other Income/Expenses Net [[fin.totalOtherIncomeExpenseNet / 1000 | number : 0]]
Earnings Before Interest and Taxes [[fin.ebit / 1000 | number : 0]]
Interest Expense [[fin.interestExpense / 1000 | number : 0]]
Income Before Tax [[fin.incomeBeforeTax / 1000 | number : 0]]
Income Tax Expense [[fin.incomeTaxExpense / 1000 | number : 0]]
Minority Interest [[fin.minorityInterest / 1000 | number : 0]]
Net Income From Continuing Ops [[fin.netIncomeFromContinuingOps / 1000 | number : 0]]
Non-recurring Events
Discontinued Operations [[fin.discontinuedOperations / 1000 | number : 0]]
Extraordinary Items [[fin.extraordinaryItems / 1000 | number : 0]]
Effect Of Accounting Changes [[fin.effectOfAccountingCharges / 1000 | number : 0]]
Other Items [[fin.otherItems / 1000 | number : 0]]
Net Income
Net Income [[fin.netIncome / 1000 | number : 0]]
Net Income Applicable To Common Shares [[fin.netIncomeApplicableToCommonShares / 1000 | number : 0]]
Balance Sheet
All numbers in thousands [[fin.date | strtotimestamp | date: 'MMM d, yyyy']]
Current Assets  
Cash And Cash Equivalents [[fin.cash / 1000 | number : 0]]
Short Term Investments [[fin.shortTermInvestments / 1000 | number : 0]]
Net Receivables [[fin.netReceivables/ 1000 | number : 0]]
Inventory [[fin.inventory/ 1000 | number : 0]]
Other Current Assets [[fin.otherCurrentAssets/ 1000 | number : 0]]
Total Current Assets [[fin.totalCurrentAssets / 1000 | number : 0]]
Long Term Investments [[fin.longTermInvestments / 1000 | number : 0]]
Property Plant and Equipment [[fin.propertyPlantEquipment / 1000 | number : 0]]
Goodwill [[fin.goodWill / 1000 | number : 0]]
Intangible Assets [[fin.intangibleAssets / 1000 | number : 0]]
Other Assets [[fin.otherAssets / 1000 | number : 0]]
Total Assets [[fin.totalAssets / 1000 | number : 0]]
Current Liabilities
Accounts Payable [[fin.accountsPayable / 1000 | number : 0]]
Short/Current Long Term Debt [[fin.shortLongTermDebt / 1000 | number : 0]]
Other Current Liabilities [[fin.otherCurrentLiab / 1000 | number : 0]]
Total Current Liabilities [[fin.totalCurrentLiabilities / 1000 | number : 0]]
Long Term Debt [[fin.longTermDebt / 1000 | number : 0]]
Other Liabilities [[fin.otherLiab / 1000 | number : 0]]
Deferred Long Term Liability Charges [[fin.deferredLongTermLiab / 1000 | number : 0]]
Total Liabilities [[fin.totalLiab / 1000 | number : 0]]
Stockholders' Equity
Common Stock [[fin.commonStock / 1000 | number : 0]]
Retained Earnings [[fin.retainedEarnings / 1000 | number : 0]]
Other Stockholder Equity [[fin.otherStockholderEquity / 1000 | number : 0]]
Total Stockholder Equity [[fin.totalStockholderEquity / 1000 | number : 0]]
Net Tangible Assets [[fin.netTangibleAssets / 1000 | number : 0]]
Cash Flow Statement
All numbers in thousands [[fin.date | strtotimestamp | date: 'MMM d, yyyy']]
Net Income [[fin.netIncome/ 1000 | number : 0]]
Operating Activities, Cash Flows Provided By or Used In
Depreciation [[fin.depreciation / 1000 | number : 0]]
Adjustments To Net Income [[fin.changeToNetincome / 1000 | number : 0]]
Changes In Accounts Receivables [[fin.changeToAccountReceivables / 1000 | number : 0]]
Changes In Liabilities [[fin.changeToLiabilities / 1000 | number : 0]]
Changes In Inventories [[fin.changeToInventory / 1000 | number : 0]]
Changes In Other Operating Activities [[fin.changeToOperatingActivities / 1000 | number : 0]]
Total Cash Flow From Operating Activities [[fin.totalCashFromOperatingActivities / 1000 | number : 0]]
Investing Activities, Cash Flows Provided By or Used In
Capital Expenditures [[fin.capitalExpenditures / 1000 | number : 0]]
Investments [[fin.investments / 1000 | number : 0]]
Other Cash flows from Investing Activities [[fin.otherCashflowsFromInvestingActivities / 1000 | number : 0]]
Total Cash Flows From Investing Activities [[fin.totalCashflowsFromInvestingActivities / 1000 | number : 0]]
Financing Activities, Cash Flows Provided By or Used In
Dividends Paid [[fin.dividendsPaid / 1000 | number : 0]]
Sale Purchase of Stock [[fin.salePurchaseOfStock / 1000 | number : 0]]
Net Borrowings [[fin.netBorrowings / 1000 | number : 0]]
Other Cash Flows from Financing Activities [[fin.otherCashflowsFromFinancingActivities / 1000 | number : 0]]
Total Cash Flows From Financing Activities [[fin.totalCashFromFinancingActivities / 1000 | number : 0]]
Change In Cash and Cash Equivalents [[fin.changeInCash / 1000 | number : 0]]
 

Federal Signal Corporation, together with its subsidiaries, designs, manufactures, and supplies a suite of products and integrated solutions for municipal, governmental, industrial, and commercial customers in the United States, Canada, Europe, and internationally. It operates through two segments, Environmental Solutions Group and Safety and Security Systems Group. The Environmental Solutions Group segment offers a range of street sweeper vehicles, sewer cleaner and vacuum loader trucks, hydro-excavation trucks, water blasting equipment, dump truck bodies, and trailers under the Elgin, Vactor, Guzzler, Westech, Jetstream, Ox Bodies, Crysteel, J-Craft, Duraclass, Rugby, and Travis brand names. It also offers refuse and recycling collection vehicles, camera systems, ice resurfacing equipment, and snow-removal equipment. In addition, this segment engages in the sale of parts, service and repair, equipment rental, and training activities. The Safety and Security Systems Group segment provides systems and products for campus and community alerting, emergency vehicles, first responder interoperable communications, and industrial communications, as well as command and municipal networked security. Its products include vehicle lightbars and sirens, public warning sirens, general alarm systems, public address systems, and public safety software. This segment sells its products under the Federal Signal, Federal Signal VAMA, and Victor brands. The company sells its products through wholesaler, distributor, independent manufacturer representative, original equipment manufacturer, and direct sales force, as well as independent foreign distributor. Federal Signal Corporation was founded in 1901 and is headquartered in Oak Brook, Illinois.

Full Time Employees: 3,300
Avg
0.39 1.57 1.47
High
0.42 1.60 1.55
Low
0.38 1.55 1.34
Avg
285M 1.15B 1.14B
High
289M 1.16B 1.16B
Low
280M 1.15B 1.12B
  [[fin.date | strtotimestamp | date: 'MMM d,yyyy']]
Earnings History
Earnings Actual [[fin.epsActual | number : 2]]
Earnings Estimate [[fin.epsEstimate | number : 2]]
Difference [[fin.epsDifference | number : 2]]
Surprise [[fin.surprisePercent | number : 1]]%
  Cur Qtr ([[financials['etrend']['0q'].date | strtotimestamp | date: 'MMM yyyy']]) Next Qtr ([[financials['etrend']['+1q'].date | strtotimestamp | date: 'MMM yyyy']]) Cur Year ([[financials['etrend']['0y'].date | strtotimestamp | date: 'MMM yyyy']]) Next Year ([[financials['etrend']['+1y'].date | strtotimestamp | date: 'MMM yyyy']])
Earnings Estimate
Number of Analysts [[financials['etrend']['0q'].earningsEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['+1q'].earningsEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['0y'].earningsEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['+1y'].earningsEstimateNumberOfAnalysts | number : 0]]
Estimate Average [[financials['etrend']['0q'].earningsEstimateAvg | number : 2]] [[financials['etrend']['+1q'].earningsEstimateAvg | number : 2]] [[financials['etrend']['0y'].earningsEstimateAvg | number : 2]] [[financials['etrend']['+1y'].earningsEstimateAvg | number : 2]]
Estimate High [[financials['etrend']['0q'].earningsEstimateHigh | number : 2]] [[financials['etrend']['+1q'].earningsEstimateHigh | number : 2]] [[financials['etrend']['0y'].earningsEstimateHigh | number : 2]] [[financials['etrend']['+1y'].earningsEstimateHigh | number : 2]]
Estimate Low [[financials['etrend']['0q'].earningsEstimateLow | number : 2]] [[financials['etrend']['0q'].earningsEstimateLow | number : 2]] [[financials['etrend']['0y'].earningsEstimateLow | number : 2]] [[financials['etrend']['+1y'].earningsEstimateLow | number : 2]]
Estimate Growth [[financials['etrend']['0q'].earningsEstimateGrowth | number : 2]] [[financials['etrend']['+1q'].earningsEstimateGrowth | number : 2]] [[financials['etrend']['0y'].earningsEstimateGrowth | number : 2]] [[financials['etrend']['+1y'].earningsEstimateGrowth | number : 2]]
Year Ago EPS [[financials['etrend']['0q'].earningsEstimateYearAgoEps | number : 2]] [[financials['etrend']['+1q'].earningsEstimateYearAgoEps | number : 2]] [[financials['etrend']['0y'].earningsEstimateYearAgoEps | number : 2]] [[financials['etrend']['+1y'].earningsEstimateYearAgoEps | number : 2]]
All numbers in thousands (except analysts) Cur Qtr ([[financials['etrend']['0q'].date | strtotimestamp | date: 'MMM yyyy']]) Next Qtr ([[financials['etrend']['+1q'].date | strtotimestamp | date: 'MMM yyyy']]) Cur Year ([[financials['etrend']['0y'].date | strtotimestamp | date: 'MMM yyyy']]) Next Year ([[financials['etrend']['+1y'].date | strtotimestamp | date: 'MMM yyyy']])
Revenue Estimate
Number of Analysts [[financials['etrend']['0q'].revenueEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['+1q'].revenueEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['0y'].revenueEstimateNumberOfAnalysts | number : 0]] [[financials['etrend']['+1y'].revenueEstimateNumberOfAnalysts | number : 0]]
Estimate Average [[financials['etrend']['0q'].revenueEstimateAvg / 1000 | number : 0]] [[financials['etrend']['+1q'].revenueEstimateAvg / 1000 | number : 0]] [[financials['etrend']['0y'].revenueEstimateAvg / 1000 | number : 0]] [[financials['etrend']['+1y'].revenueEstimateAvg / 1000 | number : 0]]
Estimate High [[financials['etrend']['0q'].revenueEstimateHigh / 1000 | number : 0]] [[financials['etrend']['+1q'].revenueEstimateHigh / 1000 | number : 0]] [[financials['etrend']['0y'].revenueEstimateHigh / 1000 | number : 0]] [[financials['etrend']['+1y'].revenueEstimateHigh / 1000 | number : 0]]
Estimate Low [[financials['etrend']['0q'].revenueEstimateLow / 1000 | number : 0]] [[financials['etrend']['0q'].revenueEstimateLow / 1000 | number : 0]] [[financials['etrend']['0y'].revenueEstimateLow / 1000 | number : 0]] [[financials['etrend']['+1y'].revenueEstimateLow / 1000 | number : 0]]
Estimate Growth [[financials['etrend']['0q'].revenueEstimateGrowth * 100 | number : 2]]% [[financials['etrend']['+1q'].revenueEstimateGrowth * 100 | number : 2]]% [[financials['etrend']['0y'].revenueEstimateGrowth * 100 | number : 2]]% [[financials['etrend']['+1y'].revenueEstimateGrowth * 100| number : 2]]%
Year Ago EPS [[financials['etrend']['0q'].revenueEstimateYearAgoEps | number : 0]] [[financials['etrend']['+1q'].revenueEstimateYearAgoEps | number : 0]] [[financials['etrend']['0y'].revenueEstimateYearAgoEps | number : 0]] [[financials['etrend']['+1y'].revenueEstimateYearAgoEps | number : 0]]
Cur Qtr ([[financials['etrend']['0q'].date | strtotimestamp | date: 'MMM yyyy']]) Next Qtr ([[financials['etrend']['+1q'].date | strtotimestamp | date: 'MMM yyyy']]) Cur Year ([[financials['etrend']['0y'].date | strtotimestamp | date: 'MMM yyyy']]) Next Year ([[financials['etrend']['+1y'].date | strtotimestamp | date: 'MMM yyyy']])
EPS Trend
Current Estimate [[financials['etrend']['0q'].epsTrendCurrent | number : 2]] [[financials['etrend']['+1q'].epsTrendCurrent | number : 2]] [[financials['etrend']['0y'].epsTrendCurrent | number : 2]] [[financials['etrend']['+1y'].epsTrendCurrent | number : 2]]
7 Days Ago [[financials['etrend']['0q'].epsTrend7daysAgo | number : 2]] [[financials['etrend']['+1q'].epsTrend7daysAgo | number : 2]] [[financials['etrend']['0y'].epsTrend7daysAgo| number : 2]] [[financials['etrend']['+1y'].epsTrend7daysAgo | number : 2]]
30 Days Ago [[financials['etrend']['0q'].epsTrend30daysAgo | number : 2]] [[financials['etrend']['+1q'].epsTrend30daysAgo | number : 2]] [[financials['etrend']['0y'].epsTrend30daysAgo | number : 2]] [[financials['etrend']['+1y'].epsTrend30daysAgo | number : 2]]
60 Days Ago [[financials['etrend']['0q'].epsTrend60daysAgo | number : 2]] [[financials['etrend']['+1q'].epsTrend60daysAgo | number : 2]] [[financials['etrend']['0y'].epsTrend60daysAgo | number : 2]] [[financials['etrend']['+1y'].epsTrend60daysAgo | number : 2]]
90 Days Ago [[financials['etrend']['0q'].epsTrend90daysAgo | number : 2]] [[financials['etrend']['+1q'].epsTrend90daysAgo | number : 2]] [[financials['etrend']['0y'].epsTrend90daysAgo | number : 2]] [[financials['etrend']['+1y'].epsTrend90daysAgo | number : 2]]
Cur Qtr ([[financials['etrend']['0q'].date | strtotimestamp | date: 'MMM yyyy']]) Next Qtr ([[financials['etrend']['+1q'].date | strtotimestamp | date: 'MMM yyyy']]) Cur Year ([[financials['etrend']['0y'].date | strtotimestamp | date: 'MMM yyyy']]) Next Year ([[financials['etrend']['+1y'].date | strtotimestamp | date: 'MMM yyyy']])
EPS Revisions
Up Last 7 Days [[financials['etrend']['0q'].epsRevisionsUpLast7days | number : 0]] [[financials['etrend']['+1q'].epsRevisionsUpLast7days | number : 0]] [[financials['etrend']['0y'].epsRevisionsUpLast7days | number : 0]] [[financials['etrend']['+1y'].epsRevisionsUpLast7days | number : 0]]
Up Last 30 Days [[financials['etrend']['0q'].epsRevisionsUpLast30days | number : 0]] [[financials['etrend']['+1q'].epsRevisionsUpLast30days | number : 0]] [[financials['etrend']['0y'].epsRevisionsUpLast30days| number : 0]] [[financials['etrend']['+1y'].epsRevisionsUpLast30days | number : 0]]
Down Last 30 Days [[financials['etrend']['0q'].epsRevisionsDownLast30days | number : 0]] [[financials['etrend']['+1q'].epsRevisionsDownLast30days | number : 0]] [[financials['etrend']['0y'].epsRevisionsDownLast30days | number : 0]] [[financials['etrend']['+1y'].epsRevisionsDownLast30days | number : 0]]
Down Last 90 Days [[financials['etrend']['0q'].epsRevisionsDownLast90days | number : 0]] [[financials['etrend']['+1q'].epsRevisionsDownLast90days | number : 0]] [[financials['etrend']['0y'].epsRevisionsDownLast90days | number : 0]] [[financials['etrend']['+1y'].epsRevisionsDownLast90days | number : 0]]
 
Date Open High Low Close Volume
[[data.Date]] [[data.Open | number : 2]] [[data.High | number : 2]] [[data.Low | number : 2]] [[data.Close | number : 2]] [[data.Volume | number : 0]]