📈 economics

Funding Fragility in Digital Asset Treasury Companies: Preferred Claims, mNAV Compression, and Forced-Sale Risk

This paper presents a survival-risk framework demonstrating that for digital asset treasury companies, forced-sale risk is driven less by crypto price thresholds and more by the interaction of cash runways, fixed preferred-equity obligations, and market access constraints under mNAV compression.

Original authors: Hongzhe Wen

Published 2026-07-08

📖 5 min read🧠 Deep dive

CC BY 4.0

Original authors: Hongzhe Wen

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine a company that acts like a giant piggy bank, but instead of just holding coins, it's filled with volatile digital coins like Bitcoin or Ethereum. These are called Digital Asset Treasury (DAT) companies.

This paper asks a scary question: What happens if the value of those digital coins crashes, but the company still has to pay its bills?

The author, Hongzhe Wen, uses two real-world examples—Strategy Inc. (a Bitcoin giant) and BitMine (an Ether-focused company)—to build a "survival test" to see if these companies would be forced to sell their digital coins at a loss just to stay alive.

Here is the breakdown of the paper's logic using simple analogies:

1. The Setup: The House and the Rent

Think of the company as a house.

The Digital Assets (Crypto): These are the gold bars inside the house.
The Preferred Stock: This is like a strict landlord who lives in the house. The landlord demands a fixed rent payment every month, no matter what. If the gold bars lose value, the landlord still wants the same rent.
The Common Stock: This is the owner of the house.
The Cash Buffer: This is the wallet in the owner's pocket.

2. The Three Ways the House Can Collapse

The paper argues that a crash in crypto prices doesn't just hurt the gold bars; it triggers three specific problems that can force the company to sell its assets:

A. The "Fixed Rent" Problem (Preferred Claims)

The "landlord" (preferred stock) demands a fixed payment. If the gold bars drop in value, the company still has to pay the rent. If the wallet (cash) runs empty, the company might have to sell gold bars just to pay the landlord.

The Paper's Finding: Preferred stock creates a "fixed claim." It's a bill that must be paid, even when things are going badly.

B. The "Discounted House" Problem (mNAV Compression)

Imagine the house is worth \ $1 million because of the gold inside. But if the gold price drops, the market might start thinking the house is only worth \$ 800,000.

The Problem: If the market thinks the house is worth less than the gold inside it, the owner can't easily sell a piece of the house (issue new stock) to raise cash. It's like trying to sell a slice of a house for \ $100 when the whole house is only valued at \$ 800. The market stops buying.
The Paper's Finding: When the company's stock price gets too close to the value of its crypto, it loses its ability to raise new money easily. This is called mNAV compression.

C. The "Locked Door" Problem (Forced Sales)

If the wallet is empty, the rent is due, and the market won't buy new shares, the company has no choice. It must open the safe and sell the gold bars at the current (crashed) price to pay the bills.

The Paper's Finding: This is the Forced-Sale Risk. It's the moment a company is forced to sell its assets at a loss, which makes the situation even worse.

3. The Stress Test: What Happens in a Crash?

The author ran a simulation (a "stress test") using two scenarios:

Strategy Inc. (Bitcoin): A massive company with a lot of Bitcoin, debt, and preferred stock.
BitMine (Ether): A company with Ether, some cash, and a specific type of preferred stock.

The Results:

Short Term (12 Months): The wallet (cash) is the hero. As long as the company has enough cash in its pocket to pay the rent and bills for a year, it doesn't matter if the gold price crashes. They don't have to sell the gold yet.
Long Term (24 Months): The wallet runs out. If the crisis lasts longer, the cash runs dry. Then, the fixed rent (preferred claims) becomes the enemy. If the market access is also closed (nobody will buy stock), the company is forced to sell its gold.
The "Cash Runway" is King: The paper concludes that survival isn't about guessing the exact price of Bitcoin. It's about how long the cash lasts and how big the fixed bills are.

4. The Special Case: BitMine and Staking

For BitMine, there was an extra twist. They had "staked" Ether (locked up their coins to earn rewards). The paper notes that this is risky because if the system gets clogged or the value drops, that "locked" money might not be available to pay the bills immediately. It's like having a savings account that is frozen for 30 days right when you need to pay the electric bill.

The Big Takeaway

This paper isn't telling you to buy or sell Bitcoin. It's a risk management manual.

It says: Don't just look at how much crypto a company owns. You need to look at:

The Wallet: How much cash do they have?
The Landlord: How much fixed rent (preferred dividends) do they owe?
The Door: If the crypto price drops, can they still sell stock to get more cash, or is the door locked?

If the wallet is empty, the rent is high, and the door is locked, the company will be forced to sell its crypto assets at a loss to survive. The paper provides a template for investors to check these three things before getting burned.

Technical Summary: Funding Fragility in Digital Asset Treasury Companies

Problem Statement
Digital Asset Treasury (DAT) companies represent a unique corporate interface where public equity markets interact directly with volatile crypto-asset holdings. Unlike traditional operating companies with incidental crypto exposure, DATs face a specific risk-management problem: how crypto-asset drawdowns transmit through market net asset value (mNAV) compression, preferred-equity fixed claims, and financing constraints to create forced-sale risk.

The core challenge is that a crypto drawdown does not merely reduce asset value; it simultaneously compresses the market valuation of the corporate wrapper (mNAV), potentially restricting access to common equity financing, while fixed obligations (preferred dividends, debt) remain. If liquid resources and feasible financing capacity cannot cover these fixed claims and stress buffers, the company may be forced to sell crypto assets at distressed prices. The paper posits that survival risk is not determined by a single crypto price threshold but by the interplay of cash runway, fixed obligations, and market access when the corporate wrapper trades near or below its crypto net asset value.

Methodology
The paper develops a replicable, source-traced survival-risk framework applied to two specific cases: Strategy Inc. (a Bitcoin DAT) and BitMine Immersion Technologies (an Ether DAT). The methodology avoids forecasting specific price paths, instead utilizing a scenario grid to stress-test the system under various conditions.

Framework Construction: The model constructs a "Survival Gap" identity:
$\text{SurvivalGap} = \text{FixedClaims} + \text{LiquidityBuffer} - (\text{Cash} + \text{Expected OCF} + \text{FinancingCapacity})$
A positive gap indicates a forced-sale need.
Key Variables:
- CryptoValue: Market value of treasury holdings.
- Gross & Adjusted mNAV: Metrics measuring the common equity wrapper's valuation relative to crypto assets (gross) and adjusted for debt/preferred liquidation preferences.
- Preferred Metrics: Price-to-par and effective yield are used as stress indicators for preferred-funding access.
- Financing Capacity: A scenario-based proxy (not a committed facility) for common and preferred issuance, modulated by mNAV states and preferred price-to-par.
- Haircuts: Applied to crypto sale prices to account for liquidity, staking-basis, and protocol risks (specifically for ETH).
Scenario Grid: The authors simulate a grid varying:
- Crypto drawdowns (0% to -85%).
- mNAV states (Current, 1.00, 0.75, 0.50).
- Preferred price-to-par (100% to 60%).
- Financing regimes (Open, Constrained, Closed).
- Time horizons (12 and 24 months).
Data Sources: Inputs are strictly source-traced from SEC filings (Form 8-K, prospectus supplements) and company-furnished updates as of June 2026, ensuring transparency over broad, unverified coverage.

Key Results
The stress-testing results highlight distinct risk profiles for the two cases:

Strategy Inc. (BTC): Under a 24-month horizon with a "closed" financing regime and an 85% crypto drawdown, the model identifies a forced-sale need of approximately $677 million. The results indicate that while Strategy has significant cash reserves, the combination of long horizons, fixed preferred claims, and the inability to issue equity (due to mNAV compression) creates a liquidity gap.
BitMine (ETH): In the base scenario (12-month horizon, closed regime), BitMine shows no forced-sale need even under severe drawdowns, primarily due to its cash buffer. However, a robustness check reveals high sensitivity to cash availability; if cash retention drops significantly (e.g., to 10% or 0%), forced-sale needs emerge, requiring the sale of hundreds of thousands of ETH units.
Dominant Factors: The analysis finds that near-term survival is dominated by cash runway rather than crypto price thresholds. However, over longer horizons (24 months) or in closed-financing regimes, fixed claims (preferred dividends/debt) and market access constraints become the primary drivers of forced-sale risk.
mNAV Compression: When the corporate wrapper trades near or below adjusted NAV, the capacity to issue common equity to raise liquidity diminishes or becomes prohibitively dilutive, effectively closing a critical funding channel precisely when it is most needed.

Key Contributions

Definition of Funding Fragility: The paper defines funding fragility in DATs not as a solvency issue but as a survival condition where liquid resources plus feasible financing capacity fail to cover fixed claims and stress buffers.
Survival-Gap Framework: It introduces a modular framework linking crypto drawdowns, mNAV compression, preferred claims, and financing access into a single forced-sale risk identity. This framework is portable to different capital structures (e.g., debt-funded or ATM-funded DATs) by adjusting the input layers.
Replicable Risk-Management Template: The paper provides a disclosure and stress-testing template that connects SEC filings, preferred-security terms, and market data into a "forced-sale-risk dashboard." This allows risk managers to monitor specific variables (preferred price-to-par, mNAV, cash runway) rather than relying solely on crypto price movements.

Significance and Claims
The paper modestly claims to offer a risk-management tool rather than an investment recommendation, price forecast, or survival prediction. Its significance lies in:

Integrating Disconnected Mechanisms: It bridges the gap between crypto-market tail risk, public-market wrapper valuation (mNAV), and hybrid-security pricing (preferred stock) in a single analytical model.
Clarifying Disclosure Needs: It argues that DAT investors and regulators require consistent disclosure of crypto holdings, cash, debt maturities, preferred liquidation preferences, and treasury-sale policies to accurately assess fixed-claim burdens.
Monitoring Utility: The framework serves as a dashboard for ongoing digital finance risk monitoring, highlighting that "no-forced-sale" outcomes are conditional on cash buffers and market access, not just asset valuation.

The authors explicitly state that the two cases (Strategy and BitMine) are not ranked as "better" or "worse" but are used to illustrate different risk channels (BTC scale vs. ETH staking/liquidity risks) within the same framework. The paper concludes that future research should extend this framework to broader panels and incorporate real-time mNAV monitoring, but the current contribution is the establishment of a rigorous, source-traced stress-testing identity for preferred-funded DATs.