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Memory & storage · Thesis 06 · settles Oct 29 · 6 days

Will Sandisk's operating cash flow hit 70 percent of revenue in the quarter ending October 2, 2026?

How it settles

Divide net cash from operating activities by revenue that Sandisk reports for the quarter ended October 2, 2026 on SEC EDGAR. Yes if the ratio is at or above 70.0 percent, no if below. SEC EDGAR, XBRL company facts of Sandisk (Forms 10-Q and 10-K)

The exact question and the full rule

Did the net cash from operating activities of Sandisk for the quarter ended October 2, 2026 come to at or above 70.0% of its revenue?

Divide the net cash from operating activities by the revenue that Sandisk reports for the quarter ended October 2, 2026 in its 10-Q or 10-K filing on SEC EDGAR. The answer is yes if the ratio is at or above 70.0%; no if it is below 70.0%.

If the source is late or silent: If Sandisk has not filed by November 18, 2026, or a filing restates a period the rule reads, the test is inconclusive, and the Result says what was read and what was missing.

If no

Memory export records do not materialize

No: cash flow softens or revenue rises faster, pulling the ratio under 70 percent.

If yes

Inference demand outgrows training

Yes: memory demand and pricing stay strong, keeping cash generation near the 79 percent level seen last quarter.

50%
NoYes

No position, no money. The crowd, the Call and the machines appear after you lock your number.

The case · 2 people · 2 minutes
Memory export records do not materialize1 people argue noInference demand outgrows training1 people argue yes
Stronger if no · 1 people

Memory export records do not materialize

Kerrisdale Capital Management LLCSep 1

Training workloads require high-end GPUs and can be run remotely, aligning with CoreWeave's model of renting expensive, cutting-advantage capacity on long-term contracts. Inference, by contrast, is steady-state, latency-sensitive, and cost-conscious…

Stronger if yes · 1 people

Inference demand outgrows training

GaetanoMay 14

Training is compute-bound and GPU-focused, but inference is memory-bound and latency-sensitive. As AI moves into production across enterprises, the full system around the GPU matters more: memory capacity, context length, responsiveness, and data…

What would change the Call
  • The net cash from operating activities or revenue figure Sandisk reports for that quarter would move the number.
The Call · Thesis 06 · Inference demand outgrows training

The house leans to "Inference demand outgrows training".

The dossier · 5 minutes
The machines' reasons

3 models ran this one. Their numbers and reasons appear after you lock yours.

The thesis

Will Korea's monthly memory semiconductor exports set a new all-time monthly record in any month between 2026-11-15 and 2027-12-31?

Inference workloads are read by some as memory-bound rather than compute-bound, pulling HBM, DRAM and CXL demand toward record levels, while this side tests whether Korean export data actually registers a new all-time monthly high.