Question 1

What is MongoDB's P/E ratio?

Accepted Answer

MongoDB (MDB) P/E ratio is currently not available. When trailing twelve-month earnings are negative (a net loss), the P/E ratio is mathematically meaningless and is reported as not available (N/A). In that case investors typically use P/S, EV/Sales, or forward P/E instead.

Question 2

How is the P/E ratio calculated?

Accepted Answer

P/E = Share Price ÷ Trailing Twelve-Month (TTM) Diluted EPS, or equivalently Market Capitalisation ÷ TTM Net Income. All inputs are sourced from audited GAAP/IFRS filings and translated to USD using period-end exchange rates so the multiple is comparable across companies and currencies.

Question 3

What is the P/E ratio?

Accepted Answer

The price-to-earnings (P/E) ratio, also called the earnings multiple, measures how much investors pay per dollar of a company's trailing twelve-month (TTM) earnings. It is calculated as share price ÷ TTM diluted EPS (equivalent to market capitalisation ÷ TTM net income). A higher P/E implies the market is pricing in stronger future earnings growth or lower risk; a lower P/E can signal slower expected growth, higher risk, or potential undervaluation.

Question 4

What is a good P/E ratio for MongoDB?

Accepted Answer

There is no universal "good" P/E. As a rule of thumb, the S&P 500 has historically averaged a P/E in the mid-to-high teens; mature, slow-growth businesses commonly trade in the 10–18× range, while high-growth or asset-light companies often trade at 25–50×+. What matters is the comparison to sector peers and to the company's own historical range. For MongoDB specifically, the relevant sector benchmark is the current sector median of 29.4×.

Question 5

Why does MongoDB's P/E ratio change over time?

Accepted Answer

Valuation multiples move with two inputs: the numerator (market capitalisation, which tracks the share price) and the denominator (earnings). Share-price changes — driven by interest rates, earnings expectations, risk appetite, and broader market sentiment — typically dominate short-term moves, while changes in the underlying fundamental drive the longer-term trend. As a result, the ratio can rise during stock-price rallies even if the business itself has not become more valuable, and fall during sell-offs even when fundamentals are improving.

Question 6

Why is MongoDB's P/E ratio not available?

Accepted Answer

When trailing twelve-month earnings are negative (a net loss), the P/E ratio is mathematically meaningless and is reported as not available (N/A). In that case investors typically use P/S, EV/Sales, or forward P/E instead.


2026	$30.2B	-$71.2M	—	—	Jan 31, 2026
2025	$21.2B	-$129M	—	—	Jan 31, 2025
2024	$29B	-$177M	—	—	Jan 31, 2024
2023	$14.9B	-$345M	—	—	Jan 31, 2023
2022	$27.1B	-$307M	—	—	Jan 31, 2022
2021	$22.7B	-$267M	—	—	Jan 31, 2021
2020	$9.33B	-$176M	—	—	Jan 31, 2020
2019	$4.97B	-$114M	—	—	Jan 31, 2019
2018	$1.36B	-$96.4M	—	—	Jan 31, 2018
2017	$1.29B	-$86.7M	—	—	Jan 31, 2017


Dell Technologies (DELL)	16.2×
Western Digital (WDC)	15.7×
Accenture (ACN)	15.4×
Gartner (IT)	14.9×
CDW (CDW)	14.5×
Adobe (ADBE)	14.4×
Leidos Holdings (LDOS)	14.1×
Zoom Communications (ZM)	13.8×
QUALCOMM (QCOM)	13.7×
PTC (PTC)	13.5×
Paycom Software (PAYC)	13.2×
Elastic N.V. (ESTC)	13.2×
Cognizant (CTSH)	13.1×
First Solar (FSLR)	12.7×
GoDaddy (GDDY)	12.7×
Gen Digital (GEN)	11.7×
Duolingo (DUOL)	10.9×
Super Micro Computer (SMCI)	10.9×
Science Applications International (SAIC)	10.3×
Fiserv (FISV)	9.3×
Fidelity National Information Services (FIS)	9.0×
HP (HPQ)	7.5×
Sunrun (RUN)	5.6×
Lyft (LYFT)	1.8×
IBM (IBM)	0.0×

P/E Ratio for MongoDB (MDB)

P/E Ratio daily chart for MongoDB (MDB)

Historical P/E Ratio for MongoDB (MDB) from 2017 to 2026

About P/E Ratio at MongoDB (MDB)

Sector peers by P/E Ratio — chart

Sector peers by P/E Ratio — table

Frequently asked questions

MongoDB (MDB) Key Financials