MongoDB (MDB) Intangibles (2017 - 2026)
MongoDB's Intangibles came in at $30.73 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 27.0% from $42.11 million a year earlier and down 0.4% from the prior quarter.
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Analysis
MongoDB (MDB) Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB's Intangibles was $34.5 million, up 40.3% from FY2025.
- Intangibles carries a five-year compound annual growth rate of 5.6% (FY2021 to FY2026).
- Going back by fiscal year, Intangibles was $24.6 million in FY2025 (+521.6%), $3.96 million in FY2024 (-65.4%), $11.43 million in FY2023 (-44.5%) and $20.61 million in FY2022 (-21.6%).
- The fiscal Q2 2027 figure represents the lowest quarterly Intangibles since fiscal Q4 2025.
- Year-over-year, Intangibles increased in two of the last five quarters, with growth averaging 83.1%.
- The fastest year-over-year change in Intangibles over five years came in fiscal Q4 2025 (growth of 521.6%), and the weakest in fiscal Q3 2025 (a decline of 86.5%).
- Business Quant data shows MDB's Intangibles at $30.85 million (Q1 2027), $34.5 million (Q4 2026) and $38.31 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 7.02 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 273.24 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 77.10 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 426.53 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 23.16 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 281.58 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 80.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 214.36 Mn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 736.00 Mn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 30.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 30.73 Mn |
| Apr 30, 2026 | 30.85 Mn |
| Jan 31, 2026 | 34.50 Mn |
| Oct 31, 2025 | 38.31 Mn |
| Jul 31, 2025 | 42.11 Mn |
| Apr 30, 2025 | 45.92 Mn |
| Jan 31, 2025 | 24.60 Mn |
| Oct 31, 2024 | 963,000.00 |
| Jul 31, 2024 | 1.13 Mn |
| Apr 30, 2024 | 1.30 Mn |
| Jan 31, 2024 | 3.96 Mn |
| Oct 31, 2023 | 7.13 Mn |
| Jul 31, 2023 | 6.84 Mn |
| Apr 30, 2023 | 9.13 Mn |
| Jan 31, 2023 | 11.43 Mn |
| Oct 31, 2022 | 13.72 Mn |
| Jul 31, 2022 | 16.02 Mn |
| Apr 30, 2022 | 18.31 Mn |
| Jan 31, 2022 | 20.61 Mn |
| Oct 31, 2021 | 22.90 Mn |
API Access
MongoDB Intangibles 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=intangibles&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();