MongoDB (MDB) Enterprise Value (2017 - 2026)
MongoDB (MDB) reported Enterprise Value of $24.77 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 45.3% from $17.05 billion a year earlier and up 39.5% from the prior quarter.
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Analysis
MongoDB (MDB) Enterprise Value (2017 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, MongoDB's Enterprise Value came in at $17.65 billion, up 77.2% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $27.5 billion, up 39.9% from FY2025.
- Enterprise Value has a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $19.66 billion in FY2025 (-27.5%), $27.12 billion in FY2024 (+106.4%), $13.14 billion in FY2023 (-48.5%) and $25.5 billion in FY2022 (+18.3%).
- Five-year quarterly Enterprise Value spans a low of $10.89 billion in fiscal Q3 2023 and a high of $32.99 billion in fiscal Q3 2022.
- Year over year, Enterprise Value has now increased in each of the last five quarters, with growth averaging 11.4% over the last eight quarters.
- The high point for year-over-year Enterprise Value in five years was fiscal Q3 2022 (growth of 157.7%); the low point was fiscal Q3 2023 (a decline of 67.0%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $17.77 billion (Q1 2027), $27.5 billion (Q4 2026) and $26.97 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 24.77 Bn |
| Apr 30, 2026 | 17.77 Bn |
| Jan 31, 2026 | 27.50 Bn |
| Oct 31, 2025 | 26.97 Bn |
| Jul 31, 2025 | 17.05 Bn |
| Apr 30, 2025 | 11.62 Bn |
| Jan 31, 2025 | 19.66 Bn |
| Oct 31, 2024 | 17.81 Bn |
| Jul 31, 2024 | 16.38 Bn |
| Apr 30, 2024 | 24.71 Bn |
| Jan 31, 2024 | 27.12 Bn |
| Oct 31, 2023 | 22.87 Bn |
| Jul 31, 2023 | 28.31 Bn |
| Apr 30, 2023 | 15.02 Bn |
| Jan 31, 2023 | 13.14 Bn |
| Oct 31, 2022 | 10.89 Bn |
| Jul 31, 2022 | 19.67 Bn |
| Apr 30, 2022 | 22.33 Bn |
| Jan 31, 2022 | 25.50 Bn |
| Oct 31, 2021 | 32.99 Bn |
API Access
MongoDB Enterprise Value 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=enterprise-value&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();