Back by popular demand, I wanted to create an update for 2026—
1. This list averages the top 30 MBA programs across the most widely cited rankings. Composite sources were excluded to avoid double-counting. I removed Fortune due to methodology changes since last year, including a new 10% weight based on class size. Because some applicants value smaller programs, and many top schools have smaller classes, I didn’t feel this was appropriate. The Fortune 1000 index also doesn’t capture unique career paths like entrepreneurship, niche finance, and middle-market PE.
2. Composite rankings reduce the influence of any one publication, but they're still imperfect. Career-specific outcomes are likely far more important to most candidates. P&Q entrepreneurship and PitchBook rankings were therefore added for those interested in entrepreneurship. PitchBook density is calculated by dividing the number of founders by average class size, for a like-for-like across schools.
3. Flawed metrics continue: Some ranking inputs are questionable—like Financial Times giving 1.5% weight to carbon footprint or U.S. News assigning 25% to peer surveys taken by deans at competing schools and recruiters from unspecified companies. In my opinion, the U.S. News peer score is far more problematic than 1.5% for carbon footprint, further justifying the need for multiple ranking sources.
4. Salary + bonus prorated, and employment at grad reflect market value. U.S. News publishes this data by prorating bonuses across the percentage who received one, thus providing a more accurate metric of average compensation.
5. Since last year, Cornell Johnson and NYU Stern have cracked the top 10, while UC Berkeley Haas has cracked the top seven. However, salary and employment outcomes are likely more important to most candidates evaluating where to apply than modest changes in rankings YoY.
6. The job market remains difficult, and one of the most striking aspects of the data is the variation in employment rate at grad, even among top schools:
For example, Stanford reports 55.7%, Harvard 61.4%, MIT Sloan 64.4%, and Columbia 66.9%.
These differences are worth examining, particularly for students who may lack the financial resources to sustain a prolonged post-MBA job search, if that is the case, compared to their peers.
7. Employment at grad is not a complete measure of eventual career success either. Recruiting timelines, sponsorship, entrepreneurship, and students not seeking immediate employment can affect the figures. Nevertheless, employment at grad provides a meaningful objective metric when comparing across schools or years.
Weak hiring, fewer entry-level jobs, and changing employer demand make it increasingly important to look beyond a single ranking - or even a composite - when deciding where to attend.
8. Compensation and employment outcomes don't always follow the average ranking. Several schools compare favorably despite ranking outside the top 6:
NYU Stern: $201,106 salary + bonus; 77.0% employed at graduation.
Dartmouth Tuck: $198,517; 77.2%.
Virginia Darden: $194,375; 80.1%.
Cornell Johnson: $194,716; 72.0%.
Vanderbilt Owen: $180,909; 78.5%.
Etc.
These figures suggest applicants shouldn't automatically equate a lower composite ranking with weaker career outcomes. At the same time, shifts in the composite rank of certain schools since last year demonstrate that rankings have some value and have self-corrected to some extent.
9. Performance vs. Perception: The final column shows how each school’s salary rank compares with its overall rank, helping identify schools that may overperform or underperform what their conventional ranking might suggest. It's important to remember: the average rank reflects the opinions of academic rankings, while salary and employed at grad reflect the judgment of the free market. :)
10. Lastly, while many are quick to rely on numerical rankings or school labels (M7, T15, Ivy/non-Ivy, etc.) as proxies for school quality, the empirical data is far more telling. For example, there is a considerable drop in employment outcomes after the first 15 schools than between top-10 to top-15, top-seven to non-top-7, etc., while some programs greatly outperform what their conventional rankings would suggest.
Hope this is helpful for those deciding where to apply in Round 2! Stay strong out there. With AI and lower hiring due to multiple factors—including high inflation, subdued economic growth from tariffs, and technological change—2026–2027 may be a challenging year. God willing, there could be a course correction in the United States after the midterms.
Hope this is helpful. All the best!