Current for the 2026-2027 EA examPSI scheduling update
15 / 18How readiness changes

The EA Candidate Readiness Report

The stable historical pattern is stronger than a single headline trend. In 2023-2025, learner-weighted Part 1 accuracy remains near 63%, while Part 2 rises to 67.4% and Part 3 to 71.5% in smaller 2025 cohorts. The 2026 rows are year-to-date and contain only 8-15 eligible learners per part.

By Jordan AshbyUpdated August 14, 2026Aggregate PassFast product data
Dataset scope

What this result includes

  • 2023-2025 complete-year baseline
  • 2026 clearly labeled year to date
  • Minimum 25 current-question attempts per year and part
01

Part 1 is stable across complete years

Its learner-weighted accuracy is 63.4% in 2023, 63.1% in 2024, and 63.1% in 2025.

02

Part 2 and Part 3 rise in smaller 2025 cohorts

The change is worth monitoring, but it may reflect candidate mix, question exposure, or content version as well as performance.

03

2026 is not ready for a trend claim

Only 15 Part 1 and eight Part 2 and Part 3 learners meet the year-to-date activity rule.

Performance data

Learner-weighted accuracy by year and part

Each point includes learners with at least 25 attempts in that year and part. Current active questions are used throughout.

2023 Part 1147 learners; 32,204 attempts
Accuracy63.4%
2023 Part 270 learners; 12,271 attempts
Accuracy63.5%
2023 Part 337 learners; 4,802 attempts
Accuracy69.9%
2024 Part 1333 learners; 123,361 attempts
Accuracy63.1%
2024 Part 2121 learners; 45,188 attempts
Accuracy63.1%
2024 Part 385 learners; 29,510 attempts
Accuracy68.8%
2025 Part 174 learners; 34,338 attempts
Accuracy63.1%
2025 Part 233 learners; 26,642 attempts
Accuracy67.4%
2025 Part 332 learners; 22,518 attempts
Accuracy71.5%
2026 YTD Part 115 learners; 5,286 attempts
Accuracy72.2%
2026 YTD Part 28 learners; 3,465 attempts
Accuracy66.5%
2026 YTD Part 38 learners; 3,257 attempts
Accuracy71.3%
Source: PassFast aggregate snapshot through August 13, 2026
Annual cohort results12 rows

Tax-law updates, bank changes, and cohort composition can move the values; year labels do not isolate a causal trend.

Annual cohort results
PeriodPartLearnersAttemptsAccuracy
2023Part 114732,20463.4%
2023Part 27012,27163.5%
2023Part 3374,80269.9%
2024Part 1333123,36163.1%
2024Part 212145,18863.1%
2024Part 38529,51068.8%
2025Part 17434,33863.1%
2025Part 23326,64267.4%
2025Part 33222,51871.5%
2026 YTDPart 1155,28672.2%
2026 YTDPart 283,46566.5%
2026 YTDPart 383,25771.3%
Read this result carefully

What the data cannot establish

Each 2026 part sample contains only 8 to 15 eligible learners. The year-to-date rows are visible for completeness but should not anchor a trend claim.

What this means for your next study session

Turn the finding into a decision.

Use the report to choose a focused action, then test that decision with current material. The evidence should reduce uncertainty; it should never replace the complete exam outline or promise an official result.

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