Quality of earnings software for transaction advisory teams
Most of the hours in a quality of earnings engagement go into building the databook before the analysis starts. SpreadSpace reads the financial statements, tax returns and bank statements the company provides, maps them to your chart of accounts and keeps the page behind every figure, so the team spends the engagement on the adjustments and the findings.
SpreadSpaceâ„¢ builds the quality of earnings analysis on the documents in the data room. Each supported financial statement, tax return and bank statement is extracted down to the line, with the company, the reporting period and the stated unit kept identifiable, and every figure keeps a link to the page it came from. When the buyer, the lender or the second reviewer asks where a number came from, the answer is the page itself.
The extraction is deterministic, so the same document reads the same way on every engagement and the databook a senior builds is one a manager can review line by line. Normalize the results under your firm's chart of accounts, record each adjustment beside the line it changes and deliver the report in your firm's format.
Build the databook from financial statements
Upload the audited or reviewed statements, internal monthly P&Ls, business tax returns, bank statements and aging reports from the data room. SpreadSpace reads each one as the company printed it and keeps every column to the months it covers, so a quarter is never read as a year and a year to date never stands in for a period.
Map the income statement and the balance sheet to your firm's chart of accounts so every period and every entity reads the same way. The reported lines stay behind the mapped figures, and consolidating statements keep each entity's column and the reported eliminations beside the consolidated total.
Support every adjustment on its own page
Lay management's proposed adjustments beside the diligence team's own, so the reader can tell the company's earnings figure from yours. Each adjustment carries its period and its supporting document, from reported net income through to adjusted EBITDA, and the reported figure and the adjusted figure never blur together.
A source-linked figure opens the document at the highlighted line. Derived figures keep their contributing rows, and each row keeps its own source, so a reviewer can follow the adjusted EBITDA bridge back through every add-back to the pages behind it.
Working capital, net debt and concentration
Compare the balance sheet accounts the engagement includes across the monthly dates in scope, with the debt schedule read beside them one row per creditor: the original amount, the current balance, the rate, the maturity and whether the obligation is current.
The accounts receivable and accounts payable aging reports are read in the ranges the company printed, one row per customer or vendor, so concentration in a few customers, intercompany names and the movement of the aging from one report date to the next are each in front of the team.
Prove the earnings against the cash and the tax return
Compare the reported results with the company's bank activity and its tax returns. Bank statements show the deposits, withdrawals and balances behind a revenue or cash figure, and the tax-to-book reconciliation carries taxable income back to income per books.
Present the findings with better visuals
SpreadSpace draws better visuals than anyone else in the market. Revenue, margin, trailing twelve month and adjusted EBITDA charts are built from the extracted figures, and every bar, point and bridge step opens the figure behind it.
Arrange the charts and tables on the shared canvas, review them with the manager and the partner and carry the finished exhibits into the report.
Deliver the report in your firm's format
Upload a past report as a PDF or Word document and SpreadSpace reproduces its structure as a reusable template. Bring the databook, the adjusted EBITDA schedule and the charts into it as exhibits and write the findings around them.
Readers open a figure in an exhibit and land on its source. Finalizing records the version the client received, and reopening it is an explicit, recorded step, so the engagement file stands up to a second review.
Work in your engagement platform or in SpreadSpace
Bring the review into the platform your team already uses through the embedded workspace, or run the engagement in SpreadSpace. Either way the documents, the databook and the report stay in one place, with the audit trail behind every figure.
Build the databook for a recent engagement
Bring the financial statements and supported data room documents from a recent engagement and the report your team delivered. Follow one adjustment from its source line into adjusted EBITDA, the chart and the exhibit, and see whether a second reviewer can do the same without asking the senior who built it.
Keep exploring
Public market research
- 10-K, 10-K/A, 10-Q and 8-K extractionFinancial statements, as filed
- Earnings releasesResults as announced, ahead of the filing
- REITs and real estateSegment NOI and FFO from the filings
- Financial statement spreadingStandardized line items across periods
- Portfolio monitoringEach company's statements and filings, every period
- Business valuation memosFirst drafts from the extracted financials
M&A advisory
- M&A advisoryWork the sell side and the buy side from the same spread.
- Sell-side advisory and the CIMNormalized earnings with every adjustment shown
- Buy-side advisoryThe seller's numbers verified from the data room
- Business valuation memosFirst drafts from the extracted financials
- Public comparablesPeers from their filings under one chart of accounts
Due diligence
SMB
- SMBTax returns, bank statements, financial statement analysis and global cash flow for small-business lending.
- Tax return underwritingBusiness and personal returns, connected to cash flow
- Bank statement underwritingDeposits, balances and financing activity in context
- Global cash flow and debt serviceBusiness, guarantor and proposed debt in one review
- Financial statement analysisMessy, unstructured borrower data is normalized and spreadable within seconds
Middle Market
- Middle MarketFinancial statements, interim performance, complex borrower groups and debt service in one commercial credit review.
- Financial statement analysisAnnual statements, interim performance and lender adjustments
- Global cash flow and debt serviceRelated businesses, guarantors and proposed debt
- Debt schedules and financingNotes, maturities and payments beside the financials
- Credit memosReviewed spreads and repayment analysis, together
Real Estate
- Real EstateProperty financial statements, adjusted NOI, sponsor support and debt service coverage for commercial real estate lending.
- Property financial statementsOperating statements and rent rolls in one review
- Adjusted NOIProperty income, expenses and lender adjustments
- Sponsor and guarantor cash flowConnect property repayment to sponsor support
- Debt service coverageProperty DSCR with proposed financing
Mortgage
- MortgageBorrower income, self-employment, rental properties and debt-to-income with the original evidence in view.
- Income verificationBorrower income connected to the supplied documents
- Self-employed borrower incomePersonal returns and the business behind the income
- Rental income analysisProperty income and expenses, traced to the source
- Debt-to-income analysisVerified income and monthly obligations together