Start here if you're new
what it is
MongoDB sells a database that lets your developers store, search, and move data without wrestling old-school software.
how it gets paid
Last year Mongodb made $2.5B in revenue. MongoDB Atlas was the main engine at $1.75B, or 70% of sales.
why it's growing
Revenue grew 22.8% last year. The $1.65 versus -$0.09 earnings gap mattered most because it showed MongoDB can blow past expectations when cloud demand cooperates.
what just happened
MongoDB just posted a $1.65 earnings result against a -$0.09 estimate, which is why the market still gives it premium treatment.
At a glance
B balance sheet — gets the job done, barely
50/100 earnings predictability — expect surprises
23.5% return on capital — every dollar works hard here
xvary composite: 48/100 — below average
-$0.45 fy2026 eps est
What they do
MongoDB sells a database that lets your developers store, search, and move data without wrestling old-school software.
MongoDB has roughly 54,500 customers in more than 100 countries and 5,558 employees behind the platform. Scale matters here. Switching costs (changing core data systems) → ripping out the software under your apps → so what: once your product runs on MongoDB, leaving is painful and risky.
software
large-cap
subscription
cloud-database
ai-data
How they make money
$2.5B
annual revenue · their business grew +22.8% last year
MongoDB Atlas
$1.75B
+30.0%
Enterprise Advanced
$0.55B
+8.0%
Community Server support and tools
$0.15B
+12.0%
Professional services and training
$0.05B
+5.0%
The products that matter
managed cloud database service
MongoDB Atlas
$2.5B revenue base
it's the primary growth engine attached to the full $2.5B revenue base, and last quarter's 4.2% growth slowdown is why the stock conversation changed.
core engine
Key numbers
34.0%
projected sales growth
Sales growth → how fast the business is expanding → so what: a 34.0% long-range growth view is the only clean defense for a stock already above its $395 target.
$4.0B
fy2028 revenue
That is the revenue marker the bull case leans on. From $2.5B today, MongoDB needs to add about $1.5B.
23.5%
return on capital
Return on capital → profit generated from money invested in the business → so what: 23.5% says the model can be very good even before full GAAP profits show up.
5.6%
operating margin
Operating margin → profit after running the business → so what: MongoDB still loses money on this line, so growth has to keep carrying the story.
Financial health
-
balance sheet grade
B — adequate — nothing special
-
risk rank
4 — safer than 20% of stocks
-
price stability
5 / 100
-
net profit margin
23.8% — keeps 24 cents of every dollar in revenue
-
return on equity
24% — $0.24 profit for every $1 investors have put in
B — functional but not a standout on the balance sheet.
Total return vs. market
You invested $10,000 in MDB 3 years ago → it's now worth $22,410.
The index would have given you $13,920.
same period. same starting point. MDB beat the market by $8,490.
source: institutional data · total return
What just happened
beat estimates
MongoDB just posted a $1.65 earnings result against a -$0.09 estimate, which is why the market still gives it premium treatment.
Full-year revenue was $2.5B, up 22.8%, and gross margin was 71.2%. The business is still proving that fast growth can coexist with serious software economics.
the number that mattered
The $1.65 versus -$0.09 earnings gap mattered most because it showed MongoDB can blow past expectations when cloud demand cooperates.
-
it was a banner year for mongodb's stockholders in 2025.
-
the share price rose more than 75%, as the firm's atlas cloud-based offering and vector search technology seems to be becoming the standard database used for artificial intelligence (ai) applications.
developers are choosing mongodb to integrate into their ai products due to its unique vector search's ability to accurately scan text-based data that is also context aware. the vector search approach seems to allow more accurate results in an ai environment than traditional database queries. technology can change rapidly, but at present mongodb is gaining share as the preferred database provider for ai.
-
a price that costs a fraction of the historic database products also is a plus for adoption.
-
fiscal third-quarter (year ends january 31st) results were solid.
-
the company's core atlas product generated 30% vs. prior year revenue growth in the october quarter.
source: company earnings report, 2026
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What could go wrong
the top risk is atlas growth slowing into a premium multiple.
growth deceleration
last quarter's 4.2% growth sits next to a 39.3% growth year. that kind of slowdown is not a rounding error. it's the core question.
if growth stays near single digits while the stock sits around $440, the premium software narrative gets thinner fast.
valuation reset
the 3–5 year target midpoint on this page is $395, below the current price of about $440. you're paying ahead of the published long-range midpoint.
that does not make the stock broken. it does mean execution has to outrun expectations already sitting in the price.
profitability still needs proving
the latest quarter showed $0.10 EPS, but the full-year fy2026 estimate is still -$0.45. one profitable quarter is evidence. it is not yet a pattern.
if revenue heads toward $3B without better earnings conversion, investors eventually stop paying up for scale alone.
a slowdown in the $2.5B cloud engine would hit the exact part of the story investors are paying for, while the stock already trades above the $395 long-term target midpoint.
source: institutional data · regulatory filings · risk analysis
Pay attention to
cal
earnings
next quarterly growth print
4.2% is the number to beat. if growth re-accelerates, the tone changes. if it does not, the market will keep asking what exactly deserves a premium multiple here.
#
trend
atlas momentum
atlas is still the center of gravity. you want to see that engine carry more than a one-quarter headline beat.
#
metric
path to $3B revenue
the fy2026 target is $3B. every quarter now gets judged against whether that number still looks reachable.
!
risk
profit conversion
positive quarterly EPS is nice. full-year EPS of -$0.45 says the harder job is turning growth into durable profit.
Analyst rankings
short-term outlook
average
momentum score 3 — in human-speak, analysts see a stock acting like the market until the next real catalyst shows up.
risk profile
below average
stability score 4 means more volatility than most stocks. with a 1.95 beta, you should expect that.
chart momentum
average
technical score 3 says there is no special chart signal doing the thesis work for you.
earnings predictability
50 / 100
right down the middle. not chaos, not comfort. you are buying a story that can still surprise on both growth and margins.
source: institutional data
Institutional activity
institutions have been net buying for 3 consecutive quarters — 430 buyers vs. 330 sellers in 3q2025. total institutional holdings: 74.3M shares. net buying for 3 quarters.
source: institutional data · 1q2025-3q2025
source: institutional data
Price targets
3-5 year target range
$144
$646
$395
target midpoint · 10% from current · 3-5yr high: $646
source: institutional data · analyst targets
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