MongoDB (MDB) Shares Outstanding (Diluted) (2021 - 2026)
MongoDB (MDB) recorded Shares Outstanding (Diluted) of 82 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.1% from 81.08 million a year earlier and up 0.5% from the prior quarter.
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Analysis
MongoDB (MDB) Shares Outstanding (Diluted) (2021 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), MongoDB reported Shares Outstanding (Diluted) of 81.25 million, up 9.0% from FY2025.
- Annual Shares Outstanding (Diluted) has increased for five straight fiscal years, with a five-year compound annual growth rate of 6.6% (FY2021 to FY2026).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 74.56 million in FY2025 (+4.6%), 71.25 million in FY2024 (+3.8%), 68.63 million in FY2023 (+6.3%) and 64.56 million in FY2022 (+9.5%).
- The fiscal Q2 2027 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q4 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 19 consecutive quarters, with growth averaging 7.6% over the last eight quarters.
- The year-over-year growth in Shares Outstanding (Diluted) has ranged between 0.6% (fiscal Q1 2027) and 13.8% (fiscal Q3 2026) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at 81.58 million (Q1 2027), 81.25 million (Q4 2026) and 81.08 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 764.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 739.90 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 349.26 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 371.02 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 82.54 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 82.00 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 178.81 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 160.22 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 42.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 82.00 Mn |
| Apr 30, 2026 | 81.58 Mn |
| Jan 31, 2026 | 81.25 Mn |
| Oct 31, 2025 | 81.08 Mn |
| Jul 31, 2025 | 81.08 Mn |
| Apr 30, 2025 | 81.06 Mn |
| Jan 31, 2025 | 74.56 Mn |
| Oct 31, 2024 | 71.25 Mn |
| Jul 31, 2024 | 71.25 Mn |
| Apr 30, 2024 | 71.25 Mn |
| Jan 31, 2024 | 71.25 Mn |
| Oct 31, 2023 | 68.63 Mn |
| Jul 31, 2023 | 68.63 Mn |
| Apr 30, 2023 | 68.63 Mn |
| Jan 31, 2023 | 68.63 Mn |
| Oct 31, 2022 | 64.56 Mn |
| Jul 31, 2022 | 64.56 Mn |
| Apr 30, 2022 | 64.56 Mn |
| Jan 31, 2022 | 64.56 Mn |
| Oct 31, 2021 | 58.98 Mn |
API Access
MongoDB Shares Outstanding (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=shares-outstanding-diluted&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-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=shares-outstanding-diluted&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();