MongoDB (MDB) EPS (Diluted) (2021 - 2026)
MongoDB (MDB) posted EPS (Diluted) of $0.50 for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$0.58 a year earlier and up 818.7% from the prior quarter.
MongoDB (MDB) EPS (Diluted) (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, EPS (Diluted) at MongoDB was $0.72; for FY2026 (ended Jan 31, 2026), it came in at -$0.88.
- In prior fiscal years, MongoDB's EPS (Diluted) was -$1.73 in FY2025, -$2.48 in FY2024, -$5.03 in FY2023 and -$4.75 in FY2022.
- The fiscal Q2 2027 figure stands as the highest quarterly EPS (Diluted) in data going back to fiscal Q4 2021.
- According to Business Quant data, EPS (Diluted) for the three prior fiscal quarters was $0.05 (Q1 2027), $0.19 (Q4 2026) and -$0.02 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | -0.37 |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 0.01 |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 0.82 |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -0.55 |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.12 |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 0.36 |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 0.65 |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 7.94 |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 0.50 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.50 |
| Apr 30, 2026 | 0.05 |
| Jan 31, 2026 | 0.19 |
| Oct 31, 2025 | -0.02 |
| Jul 31, 2025 | -0.58 |
| Apr 30, 2025 | -0.46 |
| Jan 31, 2025 | 0.21 |
| Oct 31, 2024 | -0.14 |
| Jul 31, 2024 | -0.77 |
| Apr 30, 2024 | -1.13 |
| Jan 31, 2024 | -0.78 |
| Oct 31, 2023 | -0.43 |
| Jul 31, 2023 | -0.55 |
| Apr 30, 2023 | -0.79 |
| Jan 31, 2023 | -0.94 |
| Oct 31, 2022 | -1.31 |
| Jul 31, 2022 | -1.84 |
| Apr 30, 2022 | -1.20 |
| Jan 31, 2022 | -1.31 |
| Oct 31, 2021 | -1.38 |
MongoDB EPS (Diluted) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=eps-diluted&ticker=MDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "MDB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();