Aldaran Analytics vs FactSet
FactSet is a leading financial data and analytics platform. It provides standardized financials, screening tools, portfolio analytics, and a powerful formula language for custom data retrieval. Like Bloomberg, it excels at organizing and delivering financial data at scale.
FactSet and Aldaran operate at different levels of the analytical stack. FactSet standardizes and delivers financial data — income statements, balance sheets, ratios, and estimates — in a way that makes screening and modeling efficient. Aldaran operates one level deeper: it analyzes the accounting quality of those reported numbers and identifies where they are misleading, distorted, or non-comparable across peers and periods. FactSet tells you what the company reported. Aldaran tells you whether those numbers are reliable.
Feature Comparison
| Aldaran Analytics | FactSet | |
|---|---|---|
| Primary function | Analysis and insights on company filings | Financial data standardization and delivery |
| What you receive | Actionable findings with source traceability | Standardized data for you to analyze |
| Accounting distortion detection | Systematic, 250+ risk factors | Not offered |
| Earnings quality assessment | Automated, per-company | Not offered |
| Peer comparability adjustments | Adjusted metrics accounting for policy differences | Reported metrics, standardized format |
| Source traceability | Every finding linked to exact filing location | Links to source documents |
| Non-GAAP distortion analysis | Identifies inflated or misleading non-GAAP metrics | Reports non-GAAP as provided by company |
| Financial modeling tools | Not offered | Excel integration, formula language |
| Portfolio analytics | Not offered | Risk attribution, performance analytics |
| Screening and universe management | Not offered | Comprehensive screening tools |
| Pricing | Contact for pricing | $12,000+/year per seat |
What FactSet's Standardization Misses
FactSet does an excellent job of taking reported financial data and organizing it into a consistent, queryable format. The limitation is that the data it standardizes is still the data the company chose to report. When Carvana includes gain on sale of financing receivables in its revenue and reports a $990M operating income that depends on non-operating loan sales, FactSet faithfully standardizes those numbers. When e.l.f Beauty nets a $45M returns liability against accounts receivable, making DSO appear 30% better than it actually is, FactSet reports the headline DSO. The distortion is in the accounting, not in the data feed. FactSet captures the data; Aldaran catches the distortion.
Analysis vs. Data Delivery
FactSet provides a powerful set of tools for working with financial data — screening, modeling, custom formulas, portfolio analytics. These tools assume that the underlying data is already understood. An analyst using FactSet to screen for low-DSO companies would find e.l.f Beauty at 35 days and consider it favorable against the 36.5-day peer average. Without Aldaran's adjustment showing the actual 47.5-day DSO, the screen would produce a misleading signal. The same applies to any screening or modeling exercise built on reported financials: the output is only as reliable as the inputs. Aldaran's role is to ensure those inputs reflect economic reality, not just reported figures.
Complementary Roles
FactSet is the workspace where analysts build models, run screens, and manage portfolios. Aldaran is the analytical layer that informs those models with accounting-adjusted data. A FactSet model built on Aldaran-adjusted earnings produces more accurate valuations than one built on reported financials alone. The combination gives analysts both the infrastructure to work efficiently (FactSet) and the accounting intelligence to work accurately (Aldaran).
Bottom Line
FactSet is the standard for organized financial data and modeling tools. Aldaran provides the accounting analysis that determines whether the data you are modeling actually reflects the company's economic reality. One delivers the numbers; the other tells you what the numbers mean.