MongoDB (MDB) Cash & Equivalents (2017 - 2026)
MongoDB's Cash & Equivalents came in at $1 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 54.9% from $647.14 million a year earlier but down 3.3% from the prior quarter.
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Analysis
MongoDB (MDB) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB's Cash & Equivalents was $1.08 billion, up 121.1% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of 20.3% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $490.13 million in FY2025 (-39.0%), $802.96 million in FY2024 (+76.2%), $455.83 million in FY2023 (-3.8%) and $473.9 million in FY2022 (+10.3%).
- The five-year range for quarterly Cash & Equivalents is $455.83 million (fiscal Q4 2023) to $1.29 billion (fiscal Q2 2025).
- Year-over-year, Cash & Equivalents has increased for four consecutive quarters, with growth averaging 23.8% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q4 2026 (growth of 121.1%), and the weakest in fiscal Q3 2024 (a decline of 52.2%).
- Business Quant data shows MDB's Cash & Equivalents at $1.04 billion (Q1 2027), $1.08 billion (Q4 2026) and $834.09 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 597.70 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 763.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 3.61 Bn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 1.00 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.00 Bn |
| Apr 30, 2026 | 1.04 Bn |
| Jan 31, 2026 | 1.08 Bn |
| Oct 31, 2025 | 834.09 Mn |
| Jul 31, 2025 | 647.14 Mn |
| Apr 30, 2025 | 657.81 Mn |
| Jan 31, 2025 | 490.13 Mn |
| Oct 31, 2024 | 673.05 Mn |
| Jul 31, 2024 | 1.29 Bn |
| Apr 30, 2024 | 815.70 Mn |
| Jan 31, 2024 | 802.96 Mn |
| Oct 31, 2023 | 477.68 Mn |
| Jul 31, 2023 | 607.18 Mn |
| Apr 30, 2023 | 721.79 Mn |
| Jan 31, 2023 | 455.83 Mn |
| Oct 31, 2022 | 999.67 Mn |
| Jul 31, 2022 | 651.42 Mn |
| Apr 30, 2022 | 456.28 Mn |
| Jan 31, 2022 | 473.90 Mn |
| Oct 31, 2021 | 748.14 Mn |
API Access
MongoDB Cash & Equivalents 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=cash-and-equivalents&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();