MongoDB (MDB) Assets (2017 - 2026)
MongoDB (MDB) posted Assets of $3.78 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 6.7% from $3.54 billion a year earlier and up 2.3% from the prior quarter.
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Analysis
MongoDB (MDB) Assets (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB's Assets came in at $3.76 billion, up 9.6% from FY2025.
- Annual Assets has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 21.7% (FY2021 to FY2026).
- In prior fiscal years, MongoDB's Assets was $3.43 billion in FY2025 (+19.5%), $2.87 billion in FY2024 (+10.8%), $2.59 billion in FY2023 (+5.7%) and $2.45 billion in FY2022 (+74.0%).
- The fiscal Q2 2027 figure stands as the highest quarterly Assets in data going back to fiscal Q4 2017.
- On a year-over-year basis, Assets has increased in each of the last 32 quarters, with growth averaging 12.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Assets ran from 1.9% in fiscal Q1 2027 to 76.7% in fiscal Q1 2023.
- According to Business Quant data, Assets for the three prior fiscal quarters was $3.69 billion (Q1 2027), $3.76 billion (Q4 2026) and $3.57 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 48.46 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 12.03 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 10.86 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 8.69 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 7.55 Bn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 7.48 Bn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 3.78 Bn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 9.14 Bn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 7.87 Bn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 69.26 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.78 Bn |
| Apr 30, 2026 | 3.69 Bn |
| Jan 31, 2026 | 3.76 Bn |
| Oct 31, 2025 | 3.57 Bn |
| Jul 31, 2025 | 3.54 Bn |
| Apr 30, 2025 | 3.62 Bn |
| Jan 31, 2025 | 3.43 Bn |
| Oct 31, 2024 | 3.22 Bn |
| Jul 31, 2024 | 3.13 Bn |
| Apr 30, 2024 | 3.03 Bn |
| Jan 31, 2024 | 2.87 Bn |
| Oct 31, 2023 | 2.69 Bn |
| Jul 31, 2023 | 2.65 Bn |
| Apr 30, 2023 | 2.58 Bn |
| Jan 31, 2023 | 2.59 Bn |
| Oct 31, 2022 | 2.47 Bn |
| Jul 31, 2022 | 2.45 Bn |
| Apr 30, 2022 | 2.43 Bn |
| Jan 31, 2022 | 2.45 Bn |
| Oct 31, 2021 | 2.35 Bn |
API Access
MongoDB Assets 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=assets&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();