Business model contrast
Similar sector, different economic engine
| Lens | NVDA | CRM |
|---|---|---|
| Operating focus | accelerated computing, GPUs, and AI infrastructure | enterprise software, CRM, cloud platforms, and AI features |
| Sector | Information Technology | Information Technology |
| Primary context | Product cycles, platform durability, customer budgets, and operating leverage. | |
Comparable company evidence
Normalize before interpreting
| Measure to compare | NVDA worksheet | CRM worksheet |
|---|---|---|
| Organic Revenue Growth | Calculate the direction and consistency for NVDA; identify management definitions that changed. | Run the same calculation for CRM using the same period and accounting basis. |
| Gross Margin | Calculate the direction and consistency for NVDA; identify management definitions that changed. | Run the same calculation for CRM using the same period and accounting basis. |
| R&D As A Share Of Sales | Calculate the direction and consistency for NVDA; identify management definitions that changed. | Run the same calculation for CRM using the same period and accounting basis. |
| Free Cash Flow Margin | Calculate the direction and consistency for NVDA; identify management definitions that changed. | Run the same calculation for CRM using the same period and accounting basis. |
| Remaining Performance Obligations Or Backlog | Calculate the direction and consistency for NVDA; identify management definitions that changed. | Run the same calculation for CRM using the same period and accounting basis. |
Replay evidence
What the historical sample showed
Observation counts can differ substantially. A larger count is not evidence that one company is superior; overlapping signals also reduce statistical independence.
| Historical measure | NVDA | CRM |
|---|---|---|
| Daily model observations | 59 | 3 |
| Distinct signal dates | 59 | 3 |
| Average 5-day raw return | -0.40% | -9.92% |
| Average 5-day excess vs QQQ | -1.07% | -6.13% |
Deciding differences
Questions that should change the conclusion
Durability
Which company has the more repeatable revenue driver after removing cyclical recovery, price increases, acquisitions, or one large customer?
Reinvestment
Which company can fund growth, maintain the balance sheet, and return capital without relying on optimistic terminal assumptions?
Expectations
Which business must deliver more improvement merely to justify the current narrative?
Evidence that changes the view
What reported metric would force the comparison thesis to be rewritten rather than explained away?
Continue your research
Review each company in detail
NVDA research dossier | CRM research dossier | Information Technology sector board
Primary sources first
Evidence trail
Documents and market data change. Verify the latest filing and state the observation date before relying on a conclusion.
Same-period historical comparison
NVDA and CRM across all five horizons
This table compares the two tickers using the same historical-test definition. The difference column subtracts CRM from NVDA for QQQ-relative averages. It does not rank the businesses: the samples occur on different dates, contain overlapping observations, and can differ materially in size.
| Historical measure | NVDA | CRM | NVDA minus CRM |
|---|---|---|---|
| 1d raw return | -0.16% | -0.03% | — |
| 1d excess vs QQQ | -0.27% | 0.99% | -1.25% |
| 1d positive observations | 52.5% | 33.3% | — |
| 3d raw return | -0.44% | -5.86% | — |
| 3d excess vs QQQ | -0.73% | -3.29% | 2.55% |
| 3d positive observations | 42.4% | 0.0% | — |
| 5d raw return | -0.40% | -9.92% | — |
| 5d excess vs QQQ | -1.07% | -6.13% | 5.06% |
| 5d positive observations | 40.7% | 0.0% | — |
| 10d raw return | -0.01% | -17.99% | — |
| 10d excess vs QQQ | -1.61% | -16.98% | 15.37% |
| 10d positive observations | 39.0% | 0.0% | — |
| 20d raw return | 0.06% | -16.62% | — |
| 20d excess vs QQQ | -3.20% | -14.83% | 11.63% |
| 20d positive observations | 44.1% | 0.0% | — |
Business comparison
Compare operating evidence before comparing narratives
NVDA: NVIDIA Corporation
The central operating lens is accelerated computing, GPUs, and AI infrastructure. Use the latest 10-K and subsequent 10-Q filings to identify the disclosed demand measure, its definition, the reporting period, and whether the change reached margins and cash flow.
CRM: Salesforce, Inc.
The central operating lens is enterprise software, CRM, cloud platforms, and AI features. Apply the same accounting basis and calendar alignment used for NVDA, then document where segment structure or business mix makes a direct comparison inappropriate.
Normalization rules
Keep reported and adjusted figures separate. Reconcile acquisitions, divestitures, currency, fiscal calendars, stock-based compensation, restructuring, and one-time tax items before attributing a difference to business quality.
Evidence that changes the view
Predefine the reported metric that would reverse the current interpretation. A valid rule names a source, period, threshold or direction, and review date; “management sounded confident” is not sufficient.
Source plan
Build a reproducible NVDA versus CRM update
| Step | NVDA evidence | CRM evidence |
|---|---|---|
| 1. Define the question | Turn accelerated computing, GPUs, and AI infrastructure into one measurable question. | Turn enterprise software, CRM, cloud platforms, and AI features into an equivalent measurable question. |
| 2. Collect filings | Open NVDA SEC filings; record form, filed date, period, and page. | Open CRM SEC filings; record the same fields. |
| 3. Reconcile definitions | Write the reported value and management-defined alternative separately. | Use the same treatment; do not fill an undisclosed figure with an unsupported estimate. |
| 4. State the result | Separate company evidence, market context, and historical model output. | State limitations and the next dated filing checkpoint. |
The comparison is complete when another reader can reproduce both sides and see why a mismatch was accepted or rejected. The purpose is not to force unlike companies into one score; it is to make the basis of the judgment visible.