Once the deal closes, the question stops being whether the price was right and becomes whether the business is delivering what the price assumed. Answering that well means measuring against the specific case built during diligence, not against a generic industry rule of thumb.
Key takeaways
“On track” only means something relative to a specific baseline, and the right baseline is the one the deal was actually priced against: the normalized earnings figure and the underlying assumptions built during margin testing and the related-party corrections done in diligence, not a generic industry growth rate or margin benchmark pulled from outside the deal. A business can be performing perfectly well against a sensible industry benchmark while quietly missing the specific case that justified the price paid for it — and the reverse is just as possible.
Where the acquisition is financed with debt sized against cash flow, a lender is running its own live performance test from month one, independent of anything the buyer sets up internally. deavo.ai’s own financing guidance sets out the DSCR bands lenders typically underwrite to on this kind of deal: “≥ 1.25× on SDE” for smaller loans and “≥ 1.30× on EBITDA” for larger ones, with a broader “~1.2–1.5× on EBITDA” range across structures — figures the source itself frames as illustrative context rather than a guarantee of any specific lender’s terms. Whatever the actual covenant on your own facility, it is worth tracking as its own line item from month one, since a covenant breach can trigger consequences well before the business is genuinely in trouble on an operating basis. What that debt service means for the cash side is covered in cash management immediately after closing.
Four things, tracked against the diligence baseline rather than in isolation: revenue by the same product or service-line segmentation used in diligence, so a strong blended number cannot hide one line quietly slipping; the margin trend against the tested baseline from testing gross margin by product or service line; the accounts-receivable aging pattern against the pre-close pattern the bank-statement and filings review established, since a lengthening collection cycle is often the earliest visible sign of a problem elsewhere; and the actual cash position against the rolling forecast built for the first 100 days. None of these four is a substitute for the others — a business can be on-plan on revenue while off-plan on margin, and the two point to entirely different causes.
It is worth having realistic expectations about how much execution risk sits in the early period specifically, independent of anything to do with this particular acquisition. ISED’s Key Small Business Statistics report puts the longer-run picture in context: across 2017 to 2021, an average of “16,880” goods-producing and “57,629” services-producing small businesses exited annually against roughly similar numbers created, with only “28.5%” of goods-producing and “23.0%” of services-producing businesses created in that window surviving at least 21 years. That figure describes Canadian small businesses generally, not acquisitions specifically, and should not be read as a prediction about any one deal — it is cited here only as context for why checking early and checking often is a reasonable default, not a sign of undue caution.
The baseline is only as reliable as the diligence that produced it, which is a reason to revisit what financial diligence should cost on a small deal and when a review or audit engagement is worth requiring once real post-closing results start arriving. A quality-of-earnings report, where one was commissioned, is a normalized view of historical earnings built for exactly this purpose — testing whether the earnings a deal was priced on are “sustainable and representative going forward,” per one Ontario explainer of what such a report actually covers. If actual results diverge sharply and persistently from that baseline, it is worth asking whether the original normalization held up, not only whether the business changed. Both are real possibilities, and they call for different responses.
A pattern worth watching specifically, alongside the four tracked above, is how accounts-receivable aging in the months after closing compares to the pattern established before it — covered in more depth in a sibling piece on aged receivables and what they say about collections. A collection cycle that lengthens shortly after a change of ownership is common enough to be worth watching for on its own, whether it reflects customers testing a new relationship, a transition in who is actually chasing overdue accounts, or something more substantive about how the business is now being run.
Say month-two revenue lands within 2% of the plan, but gross margin is three points below the tested baseline — illustrative figures, set here only to show the process. Read together, on-plan revenue with off-plan margin points away from a demand problem and toward something narrower: an input cost that moved, a related-party arrangement that has not yet been renegotiated on the arm’s-length terms diligence assumed, or a shift in the mix between the higher- and lower-margin lines the business sells. The segmented, baseline-referenced read prompts a specific, targeted check; the blended revenue number alone would not have raised the question at all.
Within the first month is reasonable for cash and covenant metrics specifically, given how immediate the exposure described in cash management immediately after closing can be; a fuller margin and revenue-by-line review is more useful once a full month or two of post-closing results exists to compare against the baseline.
That is worth investigating rather than dismissing either one — they are testing related but not identical things, and a gap between them can itself point to which assumption in the original deal model was optimistic.
Not automatically. A single early miss, especially on a metric with known seasonality or onboarding noise, is a reason to look closer, not necessarily a reason to act — the point of tracking against a specific baseline is to be able to tell a real deviation from ordinary early noise.
Generally yes — the diligence-tested baseline is most useful in the first several months, after which it is reasonable to shift toward the business’s own ongoing management reporting, once enough real post-closing history exists to trust it.
A short call is enough to map which diligence findings should become the metrics you actually track post-closing.
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