MongoDB (MDB) Shares Outstanding (Entity) (2016 - 2026)
MongoDB (MDB) reported Shares Outstanding (Entity) of 80.56 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 1.2% from 81.55 million a year earlier but up 0.1% from the prior quarter.
MongoDB (MDB) Shares Outstanding (Entity) (2016 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), MongoDB posted Shares Outstanding (Entity) of 80.49 million, unchanged from FY2025.
- Shares Outstanding (Entity) has a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Entity) came in at 80.47 million in FY2025 (+10.6%), 72.74 million in FY2024 (+4.1%), 69.91 million in FY2023 (+3.7%) and 67.44 million in FY2022 (+10.7%).
- Five-year quarterly Shares Outstanding (Entity) spans a low of 66.75 million in fiscal Q3 2022 and a high of 81.72 million in fiscal Q1 2026.
- Year over year, Shares Outstanding (Entity) gained in five of the last eight quarters, with growth averaging 5.3%.
- The high point for year-over-year Shares Outstanding (Entity) in five years was fiscal Q1 2026 (growth of 11.4%); the low point was fiscal Q1 2027 (a decline of 1.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 80.5 million (Q1 2027), 80.49 million (Q4 2026) and 81.36 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 815.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 1.02 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 733.60 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 352.46 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 358.96 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 81.24 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 80.56 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 167.14 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 163.06 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 80.56 Mn |
| Apr 30, 2026 | 80.50 Mn |
| Jan 31, 2026 | 80.49 Mn |
| Oct 31, 2025 | 81.36 Mn |
| Jul 31, 2025 | 81.55 Mn |
| Apr 30, 2025 | 81.72 Mn |
| Jan 31, 2025 | 80.47 Mn |
| Oct 31, 2024 | 74.39 Mn |
| Jul 31, 2024 | 73.86 Mn |
| Apr 30, 2024 | 73.35 Mn |
| Jan 31, 2024 | 72.74 Mn |
| Oct 31, 2023 | 71.96 Mn |
| Jul 31, 2023 | 71.34 Mn |
| Apr 30, 2023 | 70.53 Mn |
| Jan 31, 2023 | 69.91 Mn |
| Oct 31, 2022 | 69.26 Mn |
| Jul 31, 2022 | 68.69 Mn |
| Apr 30, 2022 | 68.06 Mn |
| Jan 31, 2022 | 67.44 Mn |
| Oct 31, 2021 | 66.75 Mn |
MongoDB Shares Outstanding (Entity) 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=shares-outstanding-entity&ticker=MDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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=shares-outstanding-entity&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();