MongoDB (MDB) Prepaid Assets (2017 - 2026)
MongoDB (MDB) reported Prepaid Assets of $125.64 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 39.8% from $89.9 million a year earlier and up 9.0% from the prior quarter.
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Analysis
MongoDB (MDB) Prepaid Assets (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB posted Prepaid Assets of $97.17 million, up 19.6% from FY2025.
- Prepaid Assets has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 51.1% (FY2021 to FY2026).
- By fiscal year, Prepaid Assets came in at $81.21 million in FY2025 (+62.1%), $50.11 million in FY2024 (+60.5%), $31.21 million in FY2023 (-4.2%) and $32.57 million in FY2022 (+163.7%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Prepaid Assets since fiscal Q1 2025.
- Year over year, Prepaid Assets has now increased in each of the last five quarters, with growth averaging 35.6% over the last eight quarters.
- The high point for year-over-year Prepaid Assets in five years was fiscal Q1 2025 (growth of 535.9%); the low point was fiscal Q1 2026 (a decline of 59.3%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $115.28 million (Q1 2027), $97.17 million (Q4 2026) and $87.18 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 125.64 Mn |
| Apr 30, 2026 | 115.28 Mn |
| Jan 31, 2026 | 97.17 Mn |
| Oct 31, 2025 | 87.18 Mn |
| Jul 31, 2025 | 89.90 Mn |
| Apr 30, 2025 | 89.09 Mn |
| Jan 31, 2025 | 81.21 Mn |
| Oct 31, 2024 | 53.83 Mn |
| Jul 31, 2024 | 48.40 Mn |
| Apr 30, 2024 | 218.91 Mn |
| Jan 31, 2024 | 50.11 Mn |
| Oct 31, 2023 | 36.98 Mn |
| Jul 31, 2023 | 37.33 Mn |
| Apr 30, 2023 | 34.42 Mn |
| Jan 31, 2023 | 31.21 Mn |
| Oct 31, 2022 | 26.02 Mn |
| Jul 31, 2022 | 27.57 Mn |
| Apr 30, 2022 | 35.97 Mn |
| Jan 31, 2022 | 32.57 Mn |
| Oct 31, 2021 | 19.45 Mn |
API Access
MongoDB Prepaid 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=prepaid-assets&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();