C

Convano Inc

6574.T

Market valuation vs the Bitcoin it holds

67.45×
live
Premium
a 6645% premium to Bitcoin NAV

Convano Inc trades at 67.45× its Bitcoin NAV — you pay $67.45 for every $1 of Bitcoin it holds, a 58.6M USD pile.

Live · last updated

BTC held
763 BTC
Bitcoin treasury
Bitcoin NAV
58.6M USD
at today's BTC price
Market cap
3.95B USD
Fully diluted
Share price
1,230 JPY
JPY
Last BTC buy
97.7 BTC
Nov 21, 2025

mNAV over time

Last 12 months · diluted

Today's 67.45× sits in a 52-week range of 4.67× to 70.30×.

mNAV · 52-week range
4.67×–70.30×
4.67×now 67.45×70.30×

About Convano Inc

Convano Inc (6574.T) owns 763 BTC. At today's price that Bitcoin is worth 58.6M USD. The market caps the whole company at 3.95B USD — 67.45× its Bitcoin. Put plainly: you pay $67.45 for every $1 of Bitcoin it holds, a 6645% premium for everything that isn't the Bitcoin. It bought in at an average of 753 USD per coin.

Company facts

Country
Japansource
Headquarters
Tokyo, Japansource
Incorporated
Japan (kabushiki kaisha)source
Business
Nail salons, consulting, healthcare and investment (crypto treasury)source
Fiscal year end
March 31source
Auditor
Eiwa Audit Corporation (永和監査法人) (Chuo-ku, Tokyo)source
Investor relations
IR site ↗source

Each fact links to the filing or official page it was taken from.

Convano Inc (6574.T) mNAV — frequently asked

What is Convano Inc (6574.T)'s mNAV?
Convano Inc's mNAV is currently 67.45×. mNAV divides 6574.T's market capitalisation by the value of the Bitcoin it holds, so 67.45× means the market values the company at 67.45× the worth of its Bitcoin treasury (58.6M USD).
Is Convano Inc (6574.T) overvalued versus its Bitcoin?
At 67.45×, Convano Inc (6574.T) trades at a 6645% premium to the Bitcoin it holds. Whether that is rich or cheap is best read against its own history: over the past year its mNAV has ranged 4.67×–70.30×.
How much Bitcoin does Convano Inc (6574.T) hold?
Convano Inc holds 763 BTC, worth 58.6M USD at current prices. Its most recent purchase was 97.7 BTC on Nov 21, 2025.

Related datapoints