SEC-14

Luxury & Consumer Products

The luxury sector has shifted noticeably this month: valued 3 % lower than in September, beta down 0.07 to 1.10.
Median multiple
20.7x
P/E (NTM)
▼ −3 % vs. Sep · was 21.3x
Dispersion (%)
28
Lower = tighter peer group
Beta
1.10
5y monthly
▼ −0.07 vs. Sep · was 1.16
WACC (%)
9.92
Sector cost of capital
Tax rate (%)
24.00
Peer average
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What the numbers say.

The luxury sector has shifted noticeably this month. It is valued a touch lower than a month ago: the median P/E edged down to 20.7x while companies moved both ways, the beta eased to 1.10, and the cost of capital stands at 9.9 %. The sector is more unsettled than in September: the choice of peers and settings moves the value more than it did.

01
P/E is now the multiple to use

It is the tightest of the multiples the fundamentals explain, a dispersion of 28 % across the 20 companies. EV/Sales spreads by 54 % because it carries the margin differences with it.

02
The beta to use: 5 years, monthly, 1.10

Among the stable settings it has the tightest spread across the 20 companies; R² 30 %, 19 of 20 betas significant, liquid group (median bid-ask spread 0.24 %). It is the smartZebra standard setting. The settings alone move the median beta from 0.84 to 1.18.

03
Both choices matter

Ten of the twenty companies move the P/E median by −26 % to +22 %, the settings by up to 47 %. Luxury sits in the handle-with-care corner of the map.

04
Gross margin is confirmed

The usual yardsticks for luxury: expected growth and gross margin. Expected growth: partly (rank correlation +0.51 with P/E (NTM)). Gross margin: confirmed (rank correlation +0.63 with EV/Sales (NTM)). Median P/E (NTM) by sub-group: luxury 24.6x, sporting goods, apparel & durables 14.2x.

P/E (NTM): median 21.3x → 20.7x

11 more expensive · 8 cheaper
Kering fell most (−16 %), Interparfums rose most (+16 %).
{"m":[["Salvatore Ferragamo","54.8","53.9","−2%"],["Brunello Cucinelli","32.3","33.6","+4%"],["MIPS","31.6","32.9","+4%"],["Hermes International SCA","27.9","27.2","−3%"],["Swatch Group Ltd. Bearer","27.2","27.2","±0%"],["Compagnie Financiere Richemont","26.1","26.0","±0%"],["Interparfums","21.3","24.6","+16%"],["Rational","22.5","24.4","+9%"],["Burberry Group","21.8","22.2","+2%"],["Kering","24.7","20.7","−16%"],["Moncler","17.8","17.4","−2%"],["LVMH Moet Hennessy Louis Vuitton","16.1","16.4","+1%"],["Pandora","15.2","15.4","+1%"],["Thule Group","15.8","15.2","−4%"],["adidas","13.4","14.7","+10%"],["Electrolux","15.6","13.6","−13%"],["Husqvarna","11.5","13.0","+12%"],["HUGO BOSS","12.6","12.7","+1%"],["SEB","9.1","8.7","−5%"]],"b":[["MIPS","1.70","1.61",68],["Pandora","1.52","1.50",90],["Thule Group","1.49","1.43",94],["Rational","1.43","1.39",79],["Hermes International SCA","1.40","1.37",58],["Moncler","1.35","1.31",75],["Husqvarna","1.32","1.28",92],["Compagnie Financiere Richemont","1.29","1.26",78],["LVMH Moet Hennessy Louis Vuitton","1.18","1.15",75],["adidas","1.14","1.10",79],["Kering","1.06","1.09",56],["Salvatore Ferragamo","1.07","1.09",36],["Interparfums","1.23","1.07",47],["Brunello Cucinelli","1.08","1.05",53],["Swatch Group Ltd. Bearer","0.98","0.97",73],["Burberry Group","0.89","0.86",65],["SEB","0.77","0.76",43],["HUGO BOSS","0.73","0.72",59],["PUMA","0.62","0.54",48]],"w":["Salvatore Ferragamo","SEB","Interparfums","PUMA","Brunello Cucinelli"]}

Beta (5 years, monthly): median 1.16 → 1.10

19 of 20 significant
Each line runs from last month’s beta (light dot) to this month’s (blue dot), on the same beta setting.

Do the usual yardsticks hold this month?

The usual yardsticks for luxury, tested on the 20 companies this month.
Each extra point of expected growth adds about 0.7x to P/E.
Expected growth
Partly
Rank correlation +0.51 with P/E (NTM) · clear link from +0.60
Gross margin
Confirmed
Rank correlation +0.63 with EV/Sales (NTM) · clear link from +0.60

Position on the sector map

This sector in gold, the other 19 sectors in blue. Dashed lines at 40 pp are illustrative.

Construction
34
24
Chemicals
49
47
Utilities
29
158
Telecom
28
44
Media
63
50
Travel & Leisure
55
69
Retail
41
48
Luxury
48
47
Consumer Goods
22
50
Logistics
39
61
Business Serv.
30
42
Aero & Defence
30
93
Electrical Eq.
33
42
Medtech
24
34
Pharma
34
48
IT Services
22
69
Semiconductors
53
31
Software
35
58
Automotive
30
27
Machinery
13
31
Luxury

How much the choices move the result

Beta and fit

R² (median)
30 %
Significant betas
19 of 20
Median bid-ask spread
0.24 %
Beta range across settings
0.84–1.18

What moves the value?

Change vs. prior month
−3 % vs. September
Peer impact on the median
−26 % to +22 %
Spread from peer choice (pp)
48
Spread from beta settings (pp)
47
Position on the sector map
Handle with care

Cost of capital

Cost of equity (CAPM)
“kE = rf + β · MRP”
rf = base rate, MRP = market risk premium, β = sector median beta.
WACC
“WACC = E/(D+E) · kE + D/(D+E) · kD · (1 − t)”
kD = base rate + credit spread; t = peer-average tax rate.
Tax rate
“t = average tax rate of the 20 peers”
Shown above as Tax rate (%).

Selection rules

Best-fit multiple
“lowest dispersion across the 20 companies”
The reference multiple is used only as a fallback.
Beta setting
“tightest spread among stable settings”
Replaces 5y monthly only if it passes the two-month rule.
Status
“|Δ value| ≤ 1 % and |Δ β| ≤ 0.03 → stable”
Up to ±5 % / ±0.06 → shifted a bit; beyond → shifted noticeably.

Scope

The 20 largest European listed companies by market value with core business in luxury goods, apparel, footwear and consumer durables; primary listing on a European exchange; banks, insurers, financial services and real estate are excluded.
Luxury & Consumer Products
Luxury goods
Apparel
Footwear
Consumer durables
Universe
European listed companies
Core business
Luxury & Consumer Products
Selection
20 largest by market value

Banks, insurers, financial services and real estate are excluded.

Data notes

Draft figures, pending approval. Valuation date 31.10.2026.

Status compares with 30.09.2026 on the same multiple and beta setting.

Figures are medians of 20 companies; company-level values appear only in the change charts.

Source: smartZebra app. Start a free trial to run the numbers yourself.

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