MongoDB (MDB) Non-Current Assets (2017 - 2026)
MongoDB (MDB) reported Non-Current Assets of $651.7 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 2.2% from $637.52 million a year earlier and up 2.9% from the prior quarter.
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Analysis
MongoDB (MDB) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB posted Non-Current Assets of $643.99 million, up 27.1% from FY2025.
- Non-Current Assets has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 19.4% (FY2021 to FY2026).
- By fiscal year, Non-Current Assets came in at $506.77 million in FY2025 (+31.3%), $386.01 million in FY2024 (+9.6%), $352.31 million in FY2023 (+6.1%) and $332.19 million in FY2022 (+25.1%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Non-Current Assets since fiscal Q1 2026.
- Year over year, Non-Current Assets gained in seven of the last eight quarters, with growth averaging 30.8%.
- The high point for year-over-year Non-Current Assets in five years was fiscal Q1 2026 (growth of 70.6%); the low point was fiscal Q1 2027 (a decline of 2.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $633.07 million (Q1 2027), $643.99 million (Q4 2026) and $634.34 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 39.82 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 5.07 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.65 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 5.20 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.54 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 4.48 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 6.05 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.84 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 38.70 Bn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 651.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 651.70 Mn |
| Apr 30, 2026 | 633.07 Mn |
| Jan 31, 2026 | 643.99 Mn |
| Oct 31, 2025 | 634.34 Mn |
| Jul 31, 2025 | 637.52 Mn |
| Apr 30, 2025 | 651.89 Mn |
| Jan 31, 2025 | 506.77 Mn |
| Oct 31, 2024 | 430.52 Mn |
| Jul 31, 2024 | 409.18 Mn |
| Apr 30, 2024 | 382.10 Mn |
| Jan 31, 2024 | 386.01 Mn |
| Oct 31, 2023 | 373.42 Mn |
| Jul 31, 2023 | 353.27 Mn |
| Apr 30, 2023 | 348.23 Mn |
| Jan 31, 2023 | 352.31 Mn |
| Oct 31, 2022 | 344.93 Mn |
| Jul 31, 2022 | 343.08 Mn |
| Apr 30, 2022 | 338.23 Mn |
| Jan 31, 2022 | 332.19 Mn |
| Oct 31, 2021 | 297.04 Mn |
API Access
MongoDB Non-Current 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=non-current-assets&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();