Spring 2027

Financial Statement Analysis

ACCTIS 603 is an advanced financial statement analysis course focused on interpreting financial statements, performing accounting-based valuation, and applying those analyses to investment, advisory, and corporate decision-making contexts.

no offering record for this termCredits unavailable
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 7

Past student reviews · John Wild

The course was rated as moderately easy, with a focus on collaborative activities rather than traditional lectures.

What you’ll be able to do

  • Explain and apply return-on-equity disaggregation, including a breakdown into operating and nonoperating components.

  • Analyze financial statements and their accompanying notes, including all related components of the annual report filing.

  • Prepare a set of reformulated financial statements that reflect one’s analysis of those statements and any adjustments that are performed.

  • Forecast financial statements (disaggregated into operating and nonoperating components) for up to ten years into the future and assess the reasonableness of those forecasts.

  • Determine company valuation using discounted future metrics of operating performance and financial condition based on valuation methods that include discounted cash flows, residual operating income, and market multiples.

  • Articulate the process of accounting analysis and valuation in practice today, including its strengths and weaknesses and its market dynamics.

  • Identify major players in accounting and advisory services, including future business opportunities and career paths.

Source: UW Guide

Grade history

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average GPA
letter grades
A
AB
B
BC
C
D
F

All recorded terms · compare terms & instructors

Prerequisites

Course map

ACCT I S 302 or 702

ACCTIS 603

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

PROF JOHN WILD is recorded teaching in Fall 2006, Fall 2007, Fall 2008, Fall 2009, Fall 2010, Spring 2011, Fall 2011, Spring 2012, Fall 2012, Spring 2013, Fall 2013, Spring 2014, Fall 2014, Spring 2015, Fall 2015, Spring 2016, Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020, Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

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SectionModeEnrolled / capacityWaitlist

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.

Meeting source records
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Student experience

the class

Past student reviews · John Wild

Students described Prof. Wild as a caring instructor who prioritized student well-being, though they noted the class structure could sometimes feel disorganized.

Recent recorded grades — Fall 2023: 3.72 GPA, 90.9% A/AB (n=66 letter grades); Fall 2024: 3.79 GPA, 91.1% A/AB (n=90 letter grades); Fall 2025: 3.77 GPA, 87.5% A/AB (n=64 letter grades).

difficulty & workload

Past student reviews · John Wild

The course was rated as moderately easy, with a focus on collaborative activities rather than traditional lectures.

Past student reviews · John Wild

The teaching style relied heavily on 'crowd work' instead of direct lecturing, and the class was described as disorganized at times.

Topics

  • Financial statement analysis and interpretation
  • Profitability, ratio, and cash flow analysis
  • Accounting-based equity valuation
  • Earnings quality, earnings management, and the market impact of accounting choices
  • Mergers, acquisitions, and intangible assets
  • Trading strategies, credit ratings, and international accounting
  • Professional practice, advisory services, and career pathways

Skills

  • Explain and apply return-on-equity disaggregation, separating operating and nonoperating components.
  • Analyze financial statements, footnotes, and related annual report disclosures.
  • Prepare reformulated financial statements after making analytical adjustments.
  • Build multi-year financial statement forecasts and evaluate their reasonableness.
  • Value companies using discounted cash flows, residual operating income, and market multiples.
  • Communicate how accounting analysis and valuation are used in professional practice.
  • Identify relevant careers and business opportunities in accounting and advisory services.

Grades

Historical instructor

Spring 2027 · Projected

Before grades are released

– average GPA

Approximate 80% prediction interval

About this estimate

The course’s semester-average GPA, not an individual student’s grade. The center uses 4 recent terms, weighted toward recent results.

The range uses the finite-sample 80th-percentile rank of absolute errors from earlier same-season forecasts. Each forecast uses only records from earlier terms. At least four forecasts are required; bounds are rounded outward and limited to 0–4. This is an empirical estimate: changing instructors or grading policies can reduce its coverage.

5 earlier forecasts · 0.10 GPA average error.

Grades over time

Through Spring 2027

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1316 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records

No offering records for the selected term.

Raw records 
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Rate My Professors

Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
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  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "dcc25dbcb7348338e5dce41b87a4dd5c511109ce6648e4edbb8655e03e472a30",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}