MongoDB (MDB) EPS (Basic) (2016 - 2026)
MongoDB (MDB) reported EPS (Basic) of $0.51 for fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$0.58 a year earlier and up 821.7% from the prior quarter.
MongoDB (MDB) EPS (Basic) (2016 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, MongoDB's EPS (Basic) came in at $0.73; for FY2026 (ended Jan 31, 2026), it came in at -$0.88.
- By fiscal year, EPS (Basic) came in at -$1.73 in FY2025, -$2.48 in FY2024, -$5.03 in FY2023 and -$4.75 in FY2022.
- The fiscal Q2 2027 figure ranks as the highest quarterly EPS (Basic) in data going back to fiscal Q3 2017.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $0.06 (Q1 2027), $0.19 (Q4 2026) and -$0.02 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | -0.38 |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 0.01 |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 0.83 |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | -0.55 |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 0.13 |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 0.37 |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 0.51 |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 0.67 |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 9.91 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.51 |
| Apr 30, 2026 | 0.06 |
| 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 | -0.13 |
| Jul 31, 2024 | -0.74 |
| Apr 30, 2024 | -1.10 |
| Jan 31, 2024 | -0.78 |
| Oct 31, 2023 | -0.41 |
| Jul 31, 2023 | -0.53 |
| Apr 30, 2023 | -0.77 |
| Jan 31, 2023 | -0.94 |
| Oct 31, 2022 | -1.23 |
| Jul 31, 2022 | -1.74 |
| Apr 30, 2022 | -1.14 |
| Jan 31, 2022 | -1.31 |
| Oct 31, 2021 | -1.22 |
MongoDB EPS (Basic) 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-basic&ticker=MDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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-basic&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();