MongoDB (MDB) Research & Development (2016 - 2026)
MongoDB (MDB) reported Research & Development of $213.87 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 17.7% from $181.74 million a year earlier and up 6.7% from the prior quarter.
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Analysis
MongoDB (MDB) Research & Development (2016 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, MongoDB's Research & Development came in at $780.02 million, up 19.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $716.3 million, up 20.0% from FY2025.
- Research & Development has increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 28.4% (FY2021 to FY2026).
- By fiscal year, Research & Development came in at $596.84 million in FY2025 (+15.7%), $515.94 million in FY2024 (+22.3%), $421.69 million in FY2023 (+36.5%) and $308.82 million in FY2022 (+50.5%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Research & Development in data going back to fiscal Q3 2017.
- Year over year, Research & Development has now increased in each of the last 36 quarters, with growth averaging 17.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Research & Development ranged from 3.3% (fiscal Q4 2025) to 59.9% (fiscal Q4 2022).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $200.41 million (Q1 2027), $189.13 million (Q4 2026) and $176.61 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 213.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 213.87 Mn |
| Apr 30, 2026 | 200.41 Mn |
| Jan 31, 2026 | 189.13 Mn |
| Oct 31, 2025 | 176.61 Mn |
| Jul 31, 2025 | 181.74 Mn |
| Apr 30, 2025 | 168.83 Mn |
| Jan 31, 2025 | 150.40 Mn |
| Oct 31, 2024 | 151.41 Mn |
| Jul 31, 2024 | 148.97 Mn |
| Apr 30, 2024 | 146.06 Mn |
| Jan 31, 2024 | 145.55 Mn |
| Oct 31, 2023 | 128.15 Mn |
| Jul 31, 2023 | 125.42 Mn |
| Apr 30, 2023 | 116.82 Mn |
| Jan 31, 2023 | 110.89 Mn |
| Oct 31, 2022 | 106.39 Mn |
| Jul 31, 2022 | 108.04 Mn |
| Apr 30, 2022 | 96.37 Mn |
| Jan 31, 2022 | 89.42 Mn |
| Oct 31, 2021 | 82.26 Mn |
API Access
MongoDB Research & Development 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=research-and-development&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();