Silicon Labs (SLAB) valuation history

$221.76

Latest weekly close · Market cap $7.4B

Share SLAB P/S history

Above its usual range

Silicon Labs' P/S of 8.6x is higher than 89% of its weekly readings over the last five years (as of ).

  • Forward P/E 50.8× (analyst estimates, not ranked).
  • No P/E: earnings over the last twelve months are negative.
  • No EV/EBITDA: recent financial data is missing.

Weekly P/S with its 5-year range

P/S each weekMiddle half of the last 5 years5-year median 6.3×
P/S weekly history2×4×6×8×10×8.6×20222023202420252026
5-year median
6.3×
10-year median
5.7×
5-year low to high
3.1× to 9.1×
Versus 5-year median
+37%

P/S

89thpercentile

of its weekly readings over the last five years

Growth, last 12 months vs the year before

Revenue
+22%decelerating
EPS
n/m

Price vs revenue and EPS, indexed to 100

Each line starts at 100 at its first positive reading over the last five years. Revenue and EPS change at fiscal quarter ends.

PriceRevenue, last 12 monthsEPS, last 12 months100 = first reading
-5005010015020020222023202420252026

P/S at each year-end

The last weekly reading of each year, and its percentile against the five years before it.

SLAB P/S at each year-end
Year-endP/S5-year percentile
5.8×34
8.2×97
4.5×14
4.8×19
8.1×99
6.5×100
6.2×99
4.0×58
5.1×96
4.1×96

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About this history

What is SLAB's current P/S?
Silicon Labs' P/S of 8.6x is higher than 89% of its weekly readings over the last five years (as of Oct 29, 2026).
What is SLAB's five-year median P/S?
6.3x. Half of SLAB's weekly readings over the last five years were higher and half were lower. This page has 810 weekly readings, from Apr 25, 2011 to Oct 26, 2026.
Does a low historical rank mean a stock is a buy?
No. The rank compares SLAB only with its own past. Slower growth or more risk can justify a lower multiple than before. P/E uses earnings and P/S uses revenue from the last twelve months.

Source: SEC company filings and weekly market prices. Multiples use the last twelve months of financial results. Updated .

How the valuation data is built