Start here if you're new
what it is
Serve Robotics builds sidewalk delivery robots and the software that helps them move food orders without a human courier.
how it gets paid
Last year Serve Robotics made $3M in revenue. autonomous delivery services was the main engine at $1.5M, or 50% of sales.
why it's growing
Revenue grew 46.2% last year. Revenue rose 157% vs. prior year from a tiny base.
what just happened
Revenue hit $2M, but EPS fell to -$1.15 and the gross margin stayed deeply negative.
At a glance
n/a balance sheet
-$1.07 fy2024 eps est
$2M fy2024 rev est
n/a operating margin
~$690M market cap
What they do
Serve Robotics builds sidewalk delivery robots and the software that helps them move food orders without a human courier.
Serve's edge is distribution, not profits. It has a platform integration with Uber Eats and more than 100 robots in service as of December 31, 2024, which gives you a real-world test bed most robot startups do not have. Autonomous delivery platform (robots plus routing software) → food gets moved with less human labor → so what: if robot utilization rises, the model gets better fast.
How they make money
$3M
annual revenue · their business grew +46.2% last year
autonomous delivery services
$1.5M
software and platform fees
$0.6M
fleet operations and support
$0.5M
pilot programs and testing
$0.3M
other revenue
$0.1M
The products that matter
sidewalk food and goods delivery
Autonomous Delivery Robots
2,000+ robots disclosed
this is the business today: the company said it operated over 2,000 robots in 2025, but that translated to only about $1,350 of revenue per robot.
fleet scale first
healthcare robotics expansion
Diligent Robotics
new vertical
this broadens the pitch beyond restaurant delivery, but no revenue contribution is disclosed on this page, so you should treat it as optionality rather than operating proof.
still unproven
Key numbers
$690M
market cap
You are paying about $690 million for a business that generated just $3 million in annual revenue.
$3M
annual revenue
EDGAR shows annual revenue of $3 million, up 46.2% vs. prior year, which is growth from a very small base.
-492.2%
gross margin
Gross margin → money left after direct costs → so what: Serve is losing money before it even reaches overhead.
-$1.07
FY2024 EPS
EPS estimate → profit per share → so what: the business is still expected to lose money even before investors debate scale.
Financial health
n/a
strength
- balance sheet grade n/a
- long-term debt $2M (0% of capital)
n/a — functional but not a standout on the balance sheet.
Total return vs. market
Return history isn't available for SERV right now.
source: institutional data · return history unavailable
What just happened
missed estimates
Revenue hit $2M, but EPS fell to -$1.15 and the gross margin stayed deeply negative.
Revenue rose 157% vs. prior year from a tiny base. The bigger story is that gross margin was -n/a, so more sales still did not create a healthy business.
$2M
revenue
-$1.15
eps
n/a
gross margin
the number that mattered
The number that mattered was -492.2% gross margin, because it means the unit economics are still upside down.
source: company earnings report, 2026
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What could go wrong
the top risk is failing to turn a $2.7M revenue base into anything close to the $26M target while losses stay wildly larger than sales.
med
cash burn keeps the equity story on a timer
The latest figures shown here are $101.4M of net loss against $2.7M of revenue. Early-stage companies can live on investor patience for a while. They cannot ignore arithmetic.
If burn stays anywhere near this level, dilution risk belongs in the base case, not the footnotes.
med
the $26M revenue target is a very high bar
Moving from $2.7M to $26M in a year implies roughly 9.6x growth. That asks for more robots, better utilization, more demand, and cleaner operations all at once.
A miss would not just trim optimism. It would reopen the question of whether this model scales outside a pilot phase.
med
there is still no moat
This page does not show pricing power, recurring high-margin software revenue, or a network effect that locks anyone in. It shows 2,000+ robots and only about $1,350 of implied revenue per robot.
Without a real edge, fleet scale can become an expense line before it becomes an advantage.
med
the healthcare expansion may stay a story longer than investors want
Diligent Robotics could broaden the market opportunity. It could also absorb focus and cash before the delivery business proves itself. This page gives you the strategic idea, not operating proof.
If the new vertical does not add measurable contracts or visible revenue, the acquisition stays narrative instead of evidence.
At roughly $690M of market value and only $2.7M of revenue on this page, the stock is priced on future utilization and future margins. If those stay theoretical, there is not much underneath the valuation.
source: institutional data · regulatory filings · risk analysis
Pay attention to
metric
progress toward the $26M target
This is the number the valuation is leaning on. If quarterly revenue is not ramping fast, the market will notice before management finishes the slide deck.
risk
whether losses shrink as revenue scales
A bigger fleet is not enough. You want the gap between revenue and the $101.4M loss figure moving the right way.
calendar
the next earnings release
For a company this early, each report is a live test of demand, fleet utilization, and investor patience.
trend
revenue per robot
The disclosed figure was about $1,350 per robot in 2025. If that does not move up, fleet growth alone will not fix the model.
Analyst rankings
coverage
limited
Analyst data is thin here. In human-speak, you should not expect a thick Wall Street consensus to steady this stock.
composite score
not available
There is not enough institutional coverage on this page to build the usual xvary composite. That makes the stock harder to benchmark and easier to overrate on narrative alone.
targets
not available
No reliable long-range target data is shown. You are underwriting execution, not leaning on a neat analyst midpoint.
so what
do more of your own work
Thin coverage can create opportunity. It can also create fantasy. The difference is whether the next few quarters start validating the $26M story.
source: institutional data
Institutional activity
institutional ownership data for SERV is being compiled.
source: institutional data
Price targets
3-5 year target range
n/a
n/a
$10
current price
n/a
target midpoint · n/a from current
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