Output is not the same as efficiency. Benchmarking your finance team’s performance is what determines whether your processes exhibit best-in-class performance.
There is a moment that happens in almost every finance organization after each month-end close. Leadership says some version of “great job, team,” and the conversation moves on to the next thing.
That moment is when the most important question goes unasked.
Was your team actually efficient, or did they just work hard?
Those are not the same thing. The fine line between efficiency and hard work is the difference between a finance function that can scale with the business and one that will quietly become the bottleneck when growth accelerates beyond what manual effort can absorb.
We see this distinction blur constantly, and the consequences are predictable.
A team that closes the books on time after working three weekends is not an efficient team. A team that produces the deliverables leadership asked for by routing everything through one senior accountant is not a scalable team. A team that hits its deadlines by absorbing pressure that should have been absorbed by systems is not a high-performing team.
They are a high-risk team performing well in spite of their structure, and the risk compounds every quarter that nobody formally examines it. The benchmarking work we run with clients is designed to make that distinction visible while the information is still fresh enough to support a real conversation.
The ratios nobody puts on the monthly report.
Most finance leaders are familiar with efficiency ratios at the company level, such as operating expenses to revenues, days sales outstanding, working capital turns. These are useful, but they are lagging indicators that tell leadership about the business, not about the function producing the numbers.
The ratios that matter for diagnosing your finance team are different, and almost none of them appear in standard reporting:
Hours-to-close ratio. Total team hours invested in monthly close, divided by the structural complexity of the close. Trending up over multiple months means structural drag is increasing even when the deliverables look identical from the outside.
Analysis-to-processing ratio. What percentage of your team’s time is spent producing insight versus moving data between systems. Below thirty percent and you do not have a finance team, you have a data entry operation with senior titles and senior salaries.
Single-point-of-failure index. How many critical processes depend on one specific person. Higher than two and you are one resignation away from a crisis that nobody on the leadership team is currently planning for.
Rework rate. Percentage of deliverables that require correction or revision after first delivery. Quietly the most expensive metric in any finance function, work paid for twice, trust that erodes a little with each instance.
Percentage of entries booked pre-month end. The percentage of journal entries and transactions that are recorded within the month versus those booked after month end. The sooner transactions are booked, the less effort there is during month-end close.
None of these show up in standard financial reporting. All of them determine whether your function is actually performing or just appearing to perform.
And all of them are easiest to measure in the immediate aftermath of a monthly close, when the data is concrete and the team can still remember exactly where the friction lived.
Where industry benchmarks help, and where they hurt.
The reflexive response to internal metrics is to compare them to industry averages. That is a useful starting point and a dangerous stopping point.
Industry benchmarks tell you where you sit in a distribution. They do not tell you whether the distribution itself is healthy.
We have worked with SaaS finance teams that benchmarked perfectly against their peer group and were still operating at forty percent of the efficiency they could realistically achieve.
Why? Because their entire peer group had absorbed the same structural inefficiencies and normalized them as “industry standard.” Comfort in that ranking became a reason to stop improving, when it should have been a reason to ask whether the comparison set was actually useful.
The right way to use benchmarks is as a calibration tool. Use them to understand whether your gaps are industry-wide or company-specific, then build the improvement plan around the company-specific ones first.
Those are the ones with the most leverage and the least competitive resistance, because closing them does not require an industry-wide shift, just a deliberate decision inside your own organization.
Industry-wide gaps are still worth understanding. They just belong on a longer time horizon. Company-specific gaps belong on the highest priority list.
What we help leadership teams do in May.
The diagnostic we run is structured around three questions:
- where is your team spending its time,
- where is that time creating value, and
- what improvements can we make this month without disrupting next month’s close?
We pull the actual data, close timelines across multiple periods, deliverable cycles, escalation patterns, rework instances, dependency maps, and compare it against your company’s goals.
The output is a clear picture of where your finance function has structural leverage available and where it is operating on borrowed time disguised as competence.
From there, the work is conversational. Which gaps are worth closing immediately. Which ones need a longer horizon. Which ones the leadership team was already aware of but had no formal mechanism to address.
The companies that maximize efficiency are the ones that measure honestly, benchmark intelligently, and act on the gap before it compounds into a crisis that demands a much more expensive response.
Your team just ran a marathon. Now is when you find out whether they were actually fast, or whether they just refused to stop running.
At Lavoie CPA, we work with finance leaders who want to convert post-close data into structural efficiency gains.