News Corp (Class B) (NWS) valuation history

$32.18

Latest weekly close · Market cap $18.0B

Share NWS P/E history

Within its usual range

News' P/E of 31.2x is lower than 53% of its weekly readings over the last five years (as of ).

  • Forward P/E 22.3× (analyst estimates, not ranked).
  • No EV/EBITDA: recent financial data is missing.

Weekly P/E with its 5-year range

P/E each weekMiddle half of the last 5 years5-year median 32.8×
P/E weekly history0×50×100×150×31.2×20222023202420252026
5-year median
32.8×
10-year median
36.2×
5-year low to high
12.6× to 103.0×
Versus 5-year median
-5%

P/E

47thpercentile

of its weekly readings over the last five years

Growth, last 12 months vs the year before

Revenue
+7%accelerating
EPS
-50%

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
010020030020222023202420252026

P/E at each year-end

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

NWS P/E at each year-end
Year-endP/E5-year percentile
14.4×3
50.0×59
102.9×100
23.1×37
27.1×17
n/mToo little history
n/mToo little history
n/mToo little history
n/mToo little history
n/mToo little history

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About this history

What is NWS's current P/E?
News' P/E of 31.2x is lower than 53% of its weekly readings over the last five years (as of Oct 30, 2026).
What is NWS's five-year median P/E?
32.8x. Half of NWS's weekly readings over the last five years were higher and half were lower. This page has 638 weekly readings, from Aug 11, 2014 to Oct 26, 2026.
Does a low historical rank mean a stock is a buy?
No. The rank compares NWS 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