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Finance & Treasury · Audits cleared · Hours back · sample run · 2 ms

Debt Covenant & MAC Monitor

14,650,000.00 in critical credit facilities evaluated across across 2 items.

Evidence · Quarterly Financial Statements
EBITDA,Consolidated Adjusted EBITDA,1850000.00,1720000.00,1350000.00,2100000.00
Working

Q3 FCCR projects to 1.32x vs 1.25x covenant. Headroom is only $58,000.00 of EBITDA, creating high breach risk.

Method

1Calculated FCCR and Senior Leverage using exact Article VII formula definitions.

2Simulated revenue and EBITDA sensitivity down to 5% variance.

14,650,000.00
Total Discrepancy · Audited balance impact
ReferenceDescriptionDebt_Base
EBITDAQ3 Projected FCCR Breach Risk1,350,000.00
TOTAL_SENIOR_DEBTSenior Leverage Ratio Headroom Compression13,300,000.00
Reads

Quarterly income statement and balance sheet, plus credit agreement financial covenants clause

Produces

Officer compliance certificate and ratio headroom sensitivity dashboard (Resolution Dossier, Findings Schedule)

Price

Open Debt Covenant & MAC Monitor on sample data now with no sign-up, then run your own files free for 14 days. $3,000 a month after that, cancel any time. 30% goes to the referring partner.

Your files

Read in memory for the session, never stored, never used to train a model.

Outputs are computed from your inputs and the tool's rules. Check them before you rely on them.

The offer

14 days on your own files, then $3,000 a month.

Open Debt Covenant & MAC Monitor on sample data now with no sign-up, then run your own files free for 14 days. $3,000 a month after that, cancel any time.

On a sample file: 14,650,000.00 in critical credit facilities evaluated across across 2 items.

Why not just use ChatGPT?

Rules that stay current: the rate cards, tariffs, code sets and regulations it checks against are kept up to date for you; a one-off prompt starts from nothing each time. Evidence that stands up: every finding cites the line, the file and the rule, so it holds up with a vendor, a payer or an auditor. The same answer every time: the checks are written rules, not a fresh guess, so this month's result can be compared with last month's. Nobody has to own it: no one inside has to build, test and maintain a home-made tool, and files are not pasted into a public chatbot.

Start on your own files

Your files are read in memory and never stored.

If you would rather talk it through, write to dev.sathya@baseloom.app; that reaches Dev Sathya, founder.