MongoDB (MDB) Revenue (2016 - 2026)
MongoDB (MDB) posted Revenue of $771.77 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 30.5% from $591.4 million a year earlier and up 12.2% from the prior quarter.
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Analysis
MongoDB (MDB) Revenue (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Revenue at MongoDB was $2.78 billion, up 25.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $2.46 billion, up 22.8% from FY2025.
- Annual Revenue has increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 33.1% (FY2021 to FY2026).
- In prior fiscal years, MongoDB's Revenue was $2.01 billion in FY2025 (+19.2%), $1.68 billion in FY2024 (+31.1%), $1.28 billion in FY2023 (+47.0%) and $873.78 million in FY2022 (+48.0%).
- The fiscal Q2 2027 figure stands as the highest quarterly Revenue in data going back to fiscal Q3 2017.
- On a year-over-year basis, Revenue has increased in each of the last 36 quarters, with growth averaging 23.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Revenue ran from 12.8% in fiscal Q2 2025 to 57.1% in fiscal Q1 2023.
- According to Business Quant data, Revenue for the three prior fiscal quarters was $687.62 million (Q1 2027), $695.07 million (Q4 2026) and $628.31 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 904.39 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 771.77 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 805.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 4.62 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 771.77 Mn |
| Apr 30, 2026 | 687.62 Mn |
| Jan 31, 2026 | 695.07 Mn |
| Oct 31, 2025 | 628.31 Mn |
| Jul 31, 2025 | 591.40 Mn |
| Apr 30, 2025 | 549.01 Mn |
| Jan 31, 2025 | 548.40 Mn |
| Oct 31, 2024 | 529.38 Mn |
| Jul 31, 2024 | 478.11 Mn |
| Apr 30, 2024 | 450.56 Mn |
| Jan 31, 2024 | 458.00 Mn |
| Oct 31, 2023 | 432.94 Mn |
| Jul 31, 2023 | 423.79 Mn |
| Apr 30, 2023 | 368.28 Mn |
| Jan 31, 2023 | 361.31 Mn |
| Oct 31, 2022 | 333.62 Mn |
| Jul 31, 2022 | 303.66 Mn |
| Apr 30, 2022 | 285.45 Mn |
| Jan 31, 2022 | 266.49 Mn |
| Oct 31, 2021 | 226.89 Mn |
API Access
MongoDB Revenue 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=revenue&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();