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what it is
Siebert helps people trade stocks, get advice, buy insurance, and use online brokerage tools.
how it gets paid
Last year Siebert made $84M in revenue. Retail brokerage was the main engine at $38M, or 45% of sales.
growth snapshot
Revenue was roughly flat last year at $84M. retail brokerage is still the main line to watch.
what just happened
The next catalyst in the feed is Mar 30, 2026—if brokerage growth cools while advisory stays soft, treat it as a period story, not a new run-rate, until the filing confirms.
At a glance
C++ balance sheet — some cracks in the foundation
40/100 earnings predictability — expect surprises
10.8x trailing p/e — the market's not buying it — or you found a deal
15.2% return on capital — nothing to write home about
$0.33 fy2024 eps est
xvary composite: 49/100 — below average
What they do
Siebert helps people trade stocks, get advice, buy insurance, and use online brokerage tools.
Siebert runs brokerage (stock-trading accounts), advisory (paid investing help), insurance, and tech under one roof. That is four main revenue lines in the table with 146 employees, which is absurdly small for an $84M revenue base. You leave a setup like this only after moving accounts, advice, and paperwork all at once. The Kakao Pay tie-up reaches 8 million Korean investors, so the firm gets distribution without building branches.
How they make money
$84M
annual revenue · their business grew +0.0% last year
retail brokerage
$38M
+3.0%
investment advisory
$22M
+6.0%
insurance
$10M
−2.0%
technology development
$8M
+18.0%
media entertainment
$6M
flat
The products that matter
stock and options trading
Retail Brokerage
$38M · ~45% of revenue
matches the retail brokerage line in the table (~+3% growth there). if this slows, most of the story slows with it.
core revenue driver
investment advisory platform
Investment Advisory
$22M · ~26% of revenue
the table shows ~+6% growth here—not flat. it still needs to diversify you away from pure brokerage risk.
+6% in table
employee stock plan management
Stock Plan Services
revenue not broken out
it sits inside an $84M company, but the current snapshot does not break out segment revenue. thin disclosure is its own data point when you are judging durability.
niche exposure
Key numbers
10.8x
trailing p/e
You are paying 10.8 times profit for a tiny financial firm. That is cheap only if the earnings do not wobble.
22.8%
operating margin
This is the profit left after running the business. At 22.8%, Siebert keeps more than many bigger financial firms.
15.2%
return on capital
This says how hard the company works with its money. At 15.2%, the business is earning real returns, not just noise.
$6M
long-term debt
Debt is small at $6M. That leaves room for mistakes, but not a lot of room for drama.
Financial health
C++
strength
- balance sheet grade C++ — below average — limited financial resources
- risk rank 2 — safer than 80% of stocks
- price stability 10 / 100
- long-term debt $6M (6% of capital)
C++ — risk rank looks solid but balance sheet grade needs watching.
Total return vs. market
Return history isn't available for SIEB right now.
source: institutional data · return history unavailable
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What could go wrong
the #1 risk is brokerage concentration inside a subscale platform.
high
scale disadvantage
an $86M market cap against a rival like Charles Schwab at about $130B tells you the whole story. bigger brokers can spend more on pricing, compliance, technology, and customer acquisition.
an $86M market cap against a rival like Charles Schwab at about $130B tells you the whole story. bigger brokers can spend more on pricing, compliance, technology, and customer acquisition.
high
brokerage concentration
retail brokerage is about $38M of the $84M revenue base in the segment table—roughly 45% of sales, not 80%+. any slowdown in trading activity still hits first.
retail brokerage is about $38M of the $84M revenue base in the segment table—roughly 45% of sales. concentration is real, but the table does not support an 80% brokerage mix.
med
advisory is not diversifying the story
the ~$22M advisory line in the table grew about +6%—better than flat, but still smaller than brokerage. if advisory does not keep scaling, the story stays trading-led.
advisory is ~$22M (~26% of sales) on this page; it needs to compound to diversify away from brokerage cycles.
med
the tape still looks skeptical
the stock trades at $1.94 versus a 200-day moving average of $2.93. price action is not the business, but it does show the market is not giving this story the benefit of the doubt.
the stock trades at $1.94 versus a 200-day moving average of $2.93. price action is not the business, but it does show the market is not giving this story the benefit of the doubt.
About 45% of revenue is retail brokerage (~$38M) and about 26% is advisory (~$22M) on the table shown—still enough brokerage weight that a weak tape hurts, but the old “81% / $16M flat” lines did not match this snapshot.
source: institutional data · regulatory filings · risk analysis
Pay attention to
calendar
q4 2025 and full-year results
march 30, 2026 is the next proof point. consolidated revenue was roughly flat last year at ~$84M—if the next print turns negative or brokerage slips from its ~+3% table pace, treat it as durability risk, not noise.
segment mix
advisory has to grow off ~$22M
advisory is ~26% of sales here with ~+6% growth in the table—it is not flat, but it is still smaller than brokerage. the mix question is whether it keeps compounding.
trend
watch the gap between $1.94 and $2.93
a move back above the 200-day average would not prove the thesis. it would show the market is starting to believe the numbers again.
execution risk
treat the ai partnership like a maybe until dollars show up
the next securities agreement sounds useful. without disclosed economics or timing, you should file it under optionality, not valuation support.
Analyst rankings
earnings predictability
40 / 100
profits have been inconsistent. in human-speak: do not treat one clean quarter like a new permanent baseline.
price stability
10 / 100
this stock is volatile even by small-cap standards. that matters because low liquidity can amplify every move.
source: institutional data
Institutional activity
institutional ownership data for SIEB is being compiled.
source: institutional data
Price targets
3-5 year target range
n/a
n/a
$2
current price
n/a
target midpoint · n/a from current
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