When recurring revenue starts to wobble, I want one number that tells me whether growth is outrunning loss. The SaaS quick ratio gives me that read, and Baremetrics gives me the pieces to build it.
I use it when I need a clean view of new revenue, expansion, churn, and downgrades. If the ratio drops, I know the base is leaking. If it climbs, I know the business is keeping more of what it wins. Here’s how I calculate it in Baremetrics without guessing.
What the SaaS quick ratio tells me
I treat the quick ratio as a simple test of revenue momentum. The formula is:
(New MRR + Expansion MRR) ÷ (Churn MRR + Contraction MRR)
That is the same structure used in Stripe’s quick ratio guide. The idea is plain. I add up the recurring revenue I gained, then divide it by the recurring revenue I lost.
A ratio of 1.0 means gains and losses are even. Below 1.0 means the business is shrinking. Around 4.0 or higher usually looks healthy for a subscription business, although stage and pricing model still matter. I like this metric because it cuts through noise. One glance tells me whether growth has real traction or only looks busy.
The Baremetrics data I pull
I have not found a single Baremetrics card labeled quick ratio, so I build it from the monthly movement data. Before I calculate anything, I make sure my Baremetrics dashboard layout keeps growth and loss easy to separate.
Here is the set of inputs I look for:
| Ratio component | Baremetrics data I use | What I count |
|---|---|---|
| New MRR | New customers or new business MRR | First recurring revenue from new accounts |
| Expansion MRR | Upgrades, add-ons, seat growth | Added recurring revenue from existing customers |
| Churn MRR | Canceled subscriptions | Revenue lost when customers leave |
| Contraction MRR | Downgrades or reduced seats | Revenue lost when customers spend less |
If I want a broader MRR view around churn and retention, I also keep an eye on essential SaaS metrics to track. That helps me see whether the ratio is moving because of pricing, acquisition quality, or product usage.
If my workspace shows movement reports instead of a quick ratio field, that’s fine. I still have what I need. I just have to keep the time period consistent, usually one calendar month.
I often picture the ratio as a balance between gains and losses.
How I calculate it step by step
I calculate the ratio in the same monthly window I use for MRR reporting. That keeps the result honest and easy to compare over time.
- I pull New MRR and Expansion MRR for the month.
- I pull Churn MRR and Contraction MRR for the same month.
- I add the gain side, then I add the loss side.
- I divide gains by losses.
If I want a plain formula reference, I use The SaaS CFO’s formula breakdown. It matches the math I use in Baremetrics.
A simple example looks like this:
- New MRR: $12,000
- Expansion MRR: $4,000
- Churn MRR: $3,000
- Contraction MRR: $1,000
So I get:
($12,000 + $4,000) ÷ ($3,000 + $1,000) = $16,000 ÷ $4,000 = 4.0
That tells me revenue gains are four times larger than revenue losses for that month. If I see a zero in the loss column, I do not celebrate too fast. I first check whether the period is too short or whether the data is incomplete.
How I read the number without fooling myself
A strong quick ratio does not mean every part of the business is healthy. It only tells me that recurring revenue gains are beating recurring revenue losses.
I use these rough benchmarks:
- 4.0 or higher feels strong.
- 1.0 means the business is flat.
- Below 1.0 means recurring revenue is shrinking.
Still, I do not read the number in a vacuum. A company can post a good ratio and still struggle with weak retention or bad acquisition quality. Baremetrics works best when I compare the ratio with churn, expansion, and MRR trends in the same period. That gives me the story behind the number, not just the number itself.
Ways I improve the ratio in Baremetrics
Once I know the ratio, I look for the side that needs work. If the loss side is heavy, I start with churn and contraction. If the gain side is weak, I look at new business and expansion.
A few moves usually matter most:
- I watch downgrades by plan and cohort, because contraction can hide in small account changes.
- I study expansion after users hit usage limits or cross a value moment.
- I use annotations around price changes, launches, and campaigns, so a spike or drop has a clear cause.
- I segment by channel or plan when I suspect one acquisition source is bringing in poor-fit customers.
That last point matters more than people think. A ratio can look fine overall while one channel quietly drags it down. Segmentation in Baremetrics helps me spot that before it becomes a bigger problem.
Conclusion
When I calculate the SaaS quick ratio in Baremetrics, I do not wait for a perfect built-in scorecard. I use the movement data, keep the month consistent, and compare gains with losses.
That gives me a clear read on whether recurring revenue is building pressure or leaking away. When the number falls, I know where to look first. When it rises, I know the business is keeping more of what it wins.
