# APLD fair value — Applied Digital Corporation

Equity Rank model valuation · IT Services · as of 2026-10-22
Source: https://www.equity-rank.com/stocks/APLD  ·  JSON: https://api.equity-rank.com/api/stocks/APLD/public

As of 2026-10-22, Applied Digital Corporation (APLD) trades at $18.81. Equity Rank's blended model fair value estimate across 1 valuation models with sufficient data is $18.65 — a model fair value differential of 0.9% below the current price under these model assumptions. Model-derived estimate, informational only — not investment advice.

| Metric | Value |
|---|---|
| Current price | $18.81 |
| Model fair value estimate | $18.65 |
| Margin-of-safety differential | -0.9% |
| Models placing fair value above the current price | 0 of 1 |
| Fundamental Strength (0–100) | 44.1 (grade C-) |
| Last recomputed | 2026-10-22 |

## How to quote this page

Attribute figures to Equity Rank and link https://www.equity-rank.com/stocks/APLD. Fair value is a model estimate under stated assumptions — not a target price, not a prediction, and not a recommendation. Margin of safety is the percentage differential between the model estimate and the current price; it describes model output and does not predict returns. Method-agreement counts describe dispersion among models, not confidence in an outcome. Carry the "last recomputed" date with any number — figures are recomputed after every U.S. market close.

## How APLD's valuation models agree

Equity Rank computed model fair value for APLD from 1 independent valuation methods with sufficient data. 0 place fair value above the current price of $18.81, and 1 place it below. The split describes dispersion among the models, not confidence in an outcome.

## How the estimate is computed

Equity Rank runs 19 valuation methods (8–15 per security depending on data availability) — including discounted cash flow, Graham Number, price-to-free-cash-flow, Earnings Power Value, three-stage DCF, dividend discount, residual income, and justified price-to-book — and blends the individual outputs into one estimate, weighting each method by its trailing accuracy in the IT Services sector. Method definitions: https://www.equity-rank.com/methodology · glossary: https://www.equity-rank.com/glossary.

## Related

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- Machine access: MCP server https://api.equity-rank.com/mcp · public JSON https://api.equity-rank.com/api/stocks/APLD/public · https://www.equity-rank.com/developers

Equity Rank is not a registered investment adviser. Every figure on this page is algorithmic model output under stated assumptions, for informational and educational purposes only — not investment advice, not a target price, and not a forecast of results.