Finance AI Index
Index Vendors › Excel · September 2026 Edition
5 categories · Ranked

Excel

49Judge labels
3First choices
38Negative labels
11 of 12Models named it
5Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
0% in Corporate tax provision for mid-market buyers
Rank 98 of 98 in the mid-market standing
0 of 12 models made it the first choice on the direct prompt; 86% of its 7 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In corporate tax provision · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Excel for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Corporate tax provisionTax and compliance0%98 of 9886%7under 10 labels · led by Thomson Reuters ONESOURCE Tax Provision at 26%
Fixed asset accountingAccounting and close0%93 of 94100%4under 10 labels · led by Sage Fixed Assets at 29%
FP&A platformsPlanning and analysis0%25 of 520%2under 10 labels · led by Vena at 15%
Revenue recognitionAccounting and close0%76 of 77100%2under 10 labels · led by Maxio at 15%
Financial close managementAccounting and close0%21 of 680%1under 10 labels · led by FloQast at 60%

Movement

This is the first edition on this tier, so no move can be computed for Excel yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Excel across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500213
GPT-5.4 mini00000
Gemini 3.5 Flash00022
Perplexity Sonar00011
Grok 4.1 Fast00000
Mistral Small01001
DeepSeek V4 Flash00022
Llama 4 Maverick00000
Qwen 3.7 Flash01023
Kimi K200011
GLM 4.7 FlashX00000
MiniMax M2.500033

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct2 labels1
Paraphrase4 labelsNone
Comparative0 labelsNone
Budget-constrained8 labels2
Scale-constrained0 labelsNone
Negative35 labelsNone
First choiceAlternativeMentionNegative49 labels in all, every segment counted; 3 of the 3 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Excel or Google Sheets can be a good starting point before moving to a more specialized tool” Mistral Small · FP&A platforms · budget prompt · alternative
“Use Excel/Smartsheet if your budget is extremely tight and your close process is simple.” Qwen 3.7 Flash · Financial close manageme · budget prompt · alternative

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Many companies rely upon Excel for calculating their provision for income taxes, but many limitations exist when trying to use Excel to accurately calculate income taxes under ASC 740.” Claude Haiku 4.5 · Corporate tax provision · negative prompt · hard negative
“Excel-only / manual provision processes: Bloomberg Tax warns that manual methods and spreadsheet-heavy processes create key-person dependency” Perplexity Sonar · Corporate tax provision · negative prompt · hard negative
“Spreadsheets (Excel, Google Sheets, etc.) | Prone to formula errors, no built-in audit trail, hard to reconcile, poor compliance” MiniMax M2.5 · Fixed asset accounting · negative prompt · hard negative
“Standalone Spreadsheets (Excel) ... spreadsheets are widely considered the highest risk for revenue recognition errors.” Qwen 3.7 Flash · Revenue recognition · negative prompt · hard negative

Named alongside

The products named in the same answers as Excel, over the 49 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Excel was named but was not.
ProductSame answerTook the first choice insteadHead to head
Google Sheets23 of 490Not in the top three
Xero11 of 491Not in the top three
Bloomberg Tax Provision8 of 491Not in the top three
QuickBooks Online8 of 491Not in the top three
Clockwork6 of 495Not in the top three
Thomson Reuters ONESOURCE6 of 490Not in the top three
CSC Corptax5 of 491Not in the top three
Maxio4 of 492Not in the top three
BlackLine4 of 491Not in the top three
QuickBooks4 of 491Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Excel. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 40 of the 49 answers that named Excel and are not a share of its labels.

Names read as Excel

What the judge wrote, as written, with how often. The vendor table decides that these count as Excel; a claim can dispute any of them.
Excel/Smartsheet 1
Is this your product?

Claim this page

Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Excel's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Excel, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at excel.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.