Duolingo (MEX:DUOL) Piotroski F-Score: 6 (As of Jun. 26, 2026) — 20% Above Median


MEX:DUOL Duolingo Inc MEX:DUOL
69 GF Score
Price MXN2,363.00
GF Value MXN7,719.84
Valuation Significantly Undervalued
! 5 Warning Signs
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What is Duolingo Piotroski F-Score?

Duolingo MEX:DUOL 69 Piotroski F-Score is 6 as of Jun. 26, 2026, which is 20% above its 10-year median of 5.00. GuruFocus rates MEX:DUOL with a GF Score™ of 69/100 and a GF Value™ of MXN7,719.84 (Significantly Undervalued). The stock has 5 warning signs investors should review. Among 2,743 Software companies, Duolingo ranks better than 78.75% on this metric.

The zones of discrimination were as such:

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

Duolingo has an F-score of 5 indicating the company's financial situation is typical for a stable company.

The historical rank and industry rank for Duolingo's Piotroski F-Score or its related term are showing as below:

MEX:DUOL' s Piotroski F-Score Range Over the Past 10 Years
Min: 3   Med: 5   Max: 7
Current: 6

During the past 7 years, the highest Piotroski F-Score of Duolingo was 7. The lowest was 3. And the median was 5.

Duolingo  (MEX:DUOL) Piotroski F-Score Explanation

The developer of the system is Joseph D. Piotroski is relatively unknown accounting professor who shuns publicity and rarely gives interviews.

He graduated from the University of Illinois with a B.S. in accounting in 1989, received an M.B.A. from Indiana University in 1994. Five years later, in 1999, after earning a Ph.D. in accounting from the University of Michigan, he became an associate professor of accounting at the University of Chicago.

In 2000, he wrote a research paper called "Value Investing: The Use of Historical Financial Statement Information to Separate Winners from Losers" (pdf).

He wanted to see if he can develop a system (using a simple nine-point scoring system) that can increase the returns of a strategy of investing in low price to book (referred to in the paper as high book to market) value companies.

What he found was something that exceeded his most optimistic expectations.

Buying only those companies that scored highest (8 or 9) on his nine-point scale, or F-Score as he called it, over the 20 year period from 1976 to 1996 led to an average out-performance over the market of 13.4%.

Even more impressive were the results of a strategy of investing in the highest F-Score companies (8 or 9) and shorting companies with the lowest F-Score (0 or 1).

Over the same period from 1976 to 1996 (20 years) this strategy led to an average yearly return of 23%, substantially outperforming the average S&P 500 index return of 15.83% over the same period.


Duolingo Piotroski F-Score Related Terms


Duolingo Piotroski F-Score Historical Data

* Premium members only.

The historical data trend for Duolingo's Piotroski F-Score can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

Duolingo Piotroski F-Score Chart

Duolingo Annual Data
Trend Dec19 Dec20 Dec21 Dec22 Dec23 Dec24 Dec25
Piotroski F-Score
Get a 7-Day Free Trial 4.00 5.00 7.00 6.00 4.00

Duolingo Quarterly Data
Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24 Jun24 Sep24 Dec24 Mar25 Jun25 Sep25 Dec25 Mar26
Piotroski F-Score Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 6.00 5.00 3.00 4.00 6.00

MEX:DUOL vs LYFT, NAVN, CVLT: Piotroski F-Score Comparison

For the Software - Application subindustry, Duolingo's Piotroski F-Score, along with its competitors' market caps and Piotroski F-Score data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Duolingo Piotroski F-Score vs Software Industry

For the Software industry and Technology sector, Duolingo's Piotroski F-Score distribution charts can be found below:

* The bar in red indicates where Duolingo's Piotroski F-Score falls into.


MEX:DUOL
69GF Score
Duolingo Inc MEX:DUOL
Piotroski F-Score is just one metric. See GF Score™, valuation, warning signs, and more.
View Full Analysis

How is the Piotroski F-Score calculated?

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

This Year (Mar26) TTM:Last Year (Mar25) TTM:
Net Income was 843.19 + 5360.084 + 755.411 + 783.701 = MXN7,742 Mil.
Cash Flow from Operations was 1707.338 + 1545.297 + 1931.615 + 2718.808 = MXN7,903 Mil.
Revenue was 4749.948 + 4984.358 + 5093.236 + 5264.953 = MXN20,092 Mil.
Gross Profit was 3437.854 + 3612.175 + 3706.815 + 3842.696 = MXN14,600 Mil.
Average Total Assets from the begining of this year (Mar25)
to the end of this year (Mar26) was
(28705.842 + 29045.152 + 34590.521 + 35870.631 + 37111.188) / 5 = MXN33064.6668 Mil.
Total Assets at the begining of this year (Mar25) was MXN28,706 Mil.
Long-Term Debt & Capital Lease Obligation was MXN1,657 Mil.
Total Current Assets was MXN27,157 Mil.
Total Current Liabilities was MXN10,353 Mil.
Net Income was 446.113 + 459.965 + 290.04 + 718.799 = MXN1,915 Mil.

Revenue was 3266.969 + 3792.234 + 4370.312 + 4720.586 = MXN16,150 Mil.
Gross Profit was 2399.53 + 2764.794 + 3141.39 + 3357.109 = MXN11,663 Mil.
Average Total Assets from the begining of last year (Mar24)
to the end of last year (Mar25) was
(17735.87 + 20874.713 + 24013.286 + 27148.449 + 28705.842) / 5 = MXN23695.632 Mil.
Total Assets at the begining of last year (Mar24) was MXN17,736 Mil.
Long-Term Debt & Capital Lease Obligation was MXN1,116 Mil.
Total Current Assets was MXN24,952 Mil.
Total Current Liabilities was MXN9,298 Mil.

*Note: If the latest quarterly/semi-annual/annual total assets data is 0, then we will use previous quarterly/semi-annual/annual data for all the items in the balance sheet.

Profitability

Question 1. Return on Assets (ROA)

Net income before extraordinary items for the year divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

Duolingo's current Net Income (TTM) was 7,742. ==> Positive ==> Score 1.

Question 2. Cash Flow Return on Assets (CFROA)

Net cash flow from operating activities (operating cash flow) divided by Total Assets at the beginning of the year.

Score 1 if positive, 0 if negative.

Duolingo's current Cash Flow from Operations (TTM) was 7,903. ==> Positive ==> Score 1.

Question 3. Change in Return on Assets

Compare this year's return on assets (1) to last year's return on assets.

Score 1 if it's higher, 0 if it's lower.

ROA (This Year)=Net Income/Total Assets (Mar25)
=7742.386/28705.842
=0.26971465

ROA (Last Year)=Net Income/Total Assets (Mar24)
=1914.917/17735.87
=0.1079686

Duolingo's return on assets of this year was 0.26971465. Duolingo's return on assets of last year was 0.1079686. ==> This year is higher. ==> Score 1.

Question 4. Quality of Earnings (Accrual)

Compare Cash flow return on assets (2) to return on assets (1)

Score 1 if CFROA > ROA, 0 if CFROA <= ROA.

Duolingo's current Net Income (TTM) was 7,742. Duolingo's current Cash Flow from Operations (TTM) was 7,903. ==> 7,903 > 7,742 ==> CFROA > ROA ==> Score 1.

Funding

Question 5. Change in Gearing or Leverage

Compare this year's gearing (long-term debt divided by average total assets) to last year's gearing.

Score 0 if this year's gearing is higher, 1 otherwise.

Gearing (This Year: Mar26)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Mar25 to Mar26
=1656.718/33064.6668
=0.05010539

Gearing (Last Year: Mar25)=Long-Term Debt & Capital Lease Obligation/Average Total Assets from Mar24 to Mar25
=1115.647/23695.632
=0.04708239

Duolingo's gearing of this year was 0.05010539. Duolingo's gearing of last year was 0.04708239. ==> Last year is lower than this year ==> Score 0.

Question 6. Change in Working Capital (Liquidity)

Compare this year's current ratio (current assets divided by current liabilities) to last year's current ratio.

Score 1 if this year's current ratio is higher, 0 if it's lower

Current Ratio (This Year: Mar26)=Total Current Assets/Total Current Liabilities
=27156.507/10352.826
=2.62310088

Current Ratio (Last Year: Mar25)=Total Current Assets/Total Current Liabilities
=24951.987/9297.945
=2.68360234

Duolingo's current ratio of this year was 2.62310088. Duolingo's current ratio of last year was 2.68360234. ==> Last year's current ratio is higher ==> Score 0.

Question 7. Change in Shares in Issue

Compare the number of shares in issue this year, to the number in issue last year.

Score 0 if there is larger number of shares in issue this year, 1 otherwise.

Duolingo's number of shares in issue this year was 48.987. Duolingo's number of shares in issue last year was 48.497. ==> There is larger number of shares in issue this year. ==> Score 0.

Efficiency

Question 8. Change in Gross Margin

Compare this year's gross margin (Gross Profit divided by sales) to last year's.

Score 1 if this year's gross margin is higher, 0 if it's lower.

Gross Margin (This Year: TTM)=Gross Profit/Revenue
=14599.54/20092.495
=0.72661658

Gross Margin (Last Year: TTM)=Gross Profit/Revenue
=11662.823/16150.101
=0.72215171

Duolingo's gross margin of this year was 0.72661658. Duolingo's gross margin of last year was 0.72215171. ==> This year's gross margin is higher. ==> Score 1.

Question 9. Change in asset turnover

Compare this year's asset turnover (total sales for the year divided by total assets at the beginning of the year) to last year's asset turnover ratio.

Score 1 if this year's asset turnover ratio is higher, 0 if it's lower

Asset Turnover (This Year)=Revenue/Total Assets at the Beginning of This Year (Mar25)
=20092.495/28705.842
=0.69994446

Asset Turnover (Last Year)=Revenue/Total Assets at the Beginning of Last Year (Mar24)
=16150.101/17735.87
=0.91058973

Duolingo's asset turnover of this year was 0.69994446. Duolingo's asset turnover of last year was 0.91058973. ==> Last year's asset turnover is higher ==> Score 0.

Evaluation

Piotroski F-Score= Que. 1+ Que. 2+ Que. 3+Que. 4+Que. 5+Que. 6+Que. 7+Que. 8+Que. 9
=1+1+1+1+0+0+0+1+0
=5

Good or high score = 7, 8, 9
Bad or low score = 0, 1, 2, 3

Duolingo has an F-score of 5 indicating the company's financial situation is typical for a stable company.

Frequently Asked Questions Learn more about Piotroski F-Score →
What does a Piotroski F-Score of 6 mean?
Duolingo (MEX:DUOL) has a Piotroski F-Score of 6 as of Jun. 26, 2026. The Piotroski F-score grades a company's business operating strength from 0-9. View historical data on Duolingo and its competitors. This is 20% above median its historical median of 5.00. Over the past decade, Duolingo's Piotroski F-Score has ranged from 3.00 to 7.00. According to the industry distribution chart, Duolingo ranks #583 out of 2743 companies in the Software industry, placing it in the top 21.3%.
Is Duolingo's Piotroski F-Score too high?
Duolingo's current Piotroski F-Score of 6 is 20% above median its 10-year median of 5.00. Over the past 10 years, this metric has ranged from a low of 3.00 to a high of 7.00. The Software industry median Piotroski F-Score is 5.00. Duolingo's value of 6 is 20% above this industry median. Based on the distribution chart, Duolingo ranks #583 out of 2743 companies in the Software industry, which is in the top quartile — a strong position relative to peers. Overall, Duolingo has a GF Score™ of 69/100 and is considered Significantly Undervalued, reflecting its overall financial health beyond just this single metric.
How does Duolingo's Piotroski F-Score compare to LYFT and NAVN?
According to the Software industry distribution chart, Duolingo ranks #583 out of 2743 companies for Piotroski F-Score. This places Duolingo in the top 21% of its industry — outperforming the majority of peers. The industry median Piotroski F-Score is 5.00. Duolingo's value of 6 is 20% above this benchmark. Historically, Duolingo's own Piotroski F-Score has ranged from 3.00 to 7.00 over the past decade. While the company's 10-year median is 5.00 vs. the industry median of 5.00, Duolingo has consistently been above the industry average. See the competitive comparison table and distribution chart on this page for a detailed peer-by-peer breakdown.
What is a good Piotroski F-Score for a Software company?
The median Piotroski F-Score among Software companies is 5.00, based on 2,743 companies in the industry. Companies in the top quartile (top 25%) have a Piotroski F-Score significantly above this median, while those in the bottom quartile fall well below. However, Piotroski F-Score should not be evaluated in isolation — investors should consider it alongside profitability, growth, and financial strength metrics. Duolingo's current Piotroski F-Score of 6 is 20% above the industry median. Use the industry distribution chart on this page to see where any company falls relative to its peers.
What does a high Piotroski F-Score mean?
A high Piotroski F-Score can signal that a stock is expensive relative to its fundamentals. The Piotroski F-score grades a company's business operating strength from 0-9. View historical data on Duolingo and its competitors. For the Software industry, the median Piotroski F-Score is 5.00 — values significantly above this may indicate overvaluation, while values below may suggest a bargain or underlying issues. Duolingo's current Piotroski F-Score is 6, which is 20% above median its own 10-year median of 5.00. However, context matters — high-growth companies often justify higher valuations. Always evaluate alongside other metrics like GF Score™ and GF Value™.
Is Duolingo stock overvalued right now?
Based on GuruFocus' analysis, Duolingo (MEX:DUOL) is currently considered Significantly Undervalued. The stock's GF Value™ is MXN7,719.84, compared to a current price of MXN2,363.00 — trading 69.4% below its estimated fair value. The current Piotroski F-Score is 6, which is 20% above median its 10-year median of 5.00 and 20% above the Software industry median of 5.00. Duolingo's overall GF Score™ is 69/100 with 5 warning signs to review. Investors should evaluate multiple metrics — including profitability, growth, and financial strength — before making a decision.
How is Piotroski F-Score calculated?
Piotroski F-Score is calculated from a company's financial statements. For Duolingo (MEX:DUOL), the current Piotroski F-Score is 6 as of Jun. 26, 2026. GuruFocus calculates this using data sourced from SEC filings and annual reports. See the calculation section and 30-year financial data on this page for the full breakdown.

Is Duolingo (MEX:DUOL) Overvalued in 2026?

Based on GuruFocus' analysis, Duolingo stock appears to be undervalued. The current stock price of MXN2,363.00 is trading 69.4% below its estimated GF Value™ of MXN7,719.84. GuruFocus considers Duolingo to be Significantly Undervalued.

Key valuation signals for MEX:DUOL:

  • Piotroski F-Score: 6 (20% above median its 10-year median of 5.00)
  • GF Value™: MXN7,719.84 vs. price of MXN2,363.00 (69.4% below fair value)
  • GF Score™: 69/100 with 5 warning signs
  • Industry Position: 20% above the Software median (#583 of 2743)

No single metric tells the full story. See the MEX:DUOL stock analysis page for a complete view including 30-year financials, guru trades, and insider activity.


Duolingo Business Description

Other Exchanges DUOL:USADUOL34:Brazil
Address 5900 Penn Avenue, Pittsburgh, PA, USA, 15206
Duolingo Inc is a technology company that develops a mobile learning platform to learn languages. Its products are powered by sophisticated data analytics and artificial intelligence and delivered with class art, animation, and design to make it easier for learners to stay motivated, master new material, and achieve their learning goals. Its solutions include the Duolingo Language Learning App, Super Duolingo, Duolingo English Test: AI-Driven Language Assessment, Duolingo For Schools, Duolingo ABC, and Duolingo Math. It has four predominant sources of revenue: time-based subscriptions, in-app advertising placement by third parties, the Duolingo English Test, and In-App purchases. Geographically, the company generates revenue from its customers in the United States and other markets.
69GF Score

Get the complete analysis for MEX:DUOL

Piotroski F-Score is just one metric. See GF Value™, 30-year financials, guru trades, warning signs, and more.

MXN2,363.00
Price
MXN7,719.84
GF Value