# Thomson Reuters Fixed Assets CS: how AI models rank it, October 2026

Finance AI Recommendation Index, October 2026 Edition. Named in 11 judge labels across 1 categories by 9 of 14 models. Page: https://finance-ai-index.com/vendors/thomson-reuters-fixed-assets-cs/

## Standing by category

| Category | Share | Rank | Negative rate | Labels |
|---|---|---|---|---|
| Fixed asset accounting | 0% | 15 | 9% | 11 |

## What the models said for it

- "Is compliance & depreciation accuracy critical? | Yes → Sage Fixed Assets, Thomson Reuters Fixed Assets CS" (GLM 4.7 FlashX, Fixed asset accounting)
- "Best for accounting-heavy teams with deep depreciation treatments and tax and book accuracy." (Claude Haiku 4.5, Fixed asset accounting)
- "Tax firms and organizations with complex U.S. tax depreciation needs" (GPT-6 Luna, Fixed asset accounting)
- "a practical option if your accounting team values ease of use" (GPT-5.4 mini, Fixed asset accounting)

## And against it

- "Caution level: High ... Avoid if you're a small business or a solo accountant looking for a lightweight tool." (DeepSeek V4 Flash, Fixed asset accounting)

## Movement since September 2026

Floor: 10 points of share, measured on the calibration repeat. A larger change is movement; a smaller one is noise.

- Fixed asset accounting: 0% to 0%, ±0. Inside the floor by 10 points · rank 18 → 15 of 107.

## Record

- Method: https://finance-ai-index.com/methodology/
- Raw judge labels and full responses: https://finance-ai-index.com/data/
- License: CC BY 4.0. Cite as Finance AI Recommendation Index, October 2026 Edition, finance-ai-index.com.