MongoDB (MDB) Other Non-Current Assets (2017 - 2026)
MongoDB's Other Non-Current Assets was $327.95 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 6.2% from $308.87 million a year earlier and up 3.4% from the prior quarter.
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Analysis
MongoDB (MDB) Other Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Other Non-Current Assets at MongoDB came in at $323.32 million, up 4.1% from FY2025.
- Other Non-Current Assets has now increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 30.5% (FY2021 to FY2026).
- In earlier fiscal years, Other Non-Current Assets was $310.7 million in FY2025 (+42.6%), $217.85 million in FY2024 (+20.0%), $181.5 million in FY2023 (+23.1%) and $147.49 million in FY2022 (+72.4%).
- The fiscal Q2 2027 figure marks the highest quarterly Other Non-Current Assets in data going back to fiscal Q4 2017.
- Compared with a year earlier, Other Non-Current Assets has increased for 31 straight quarters, with growth averaging 21.5% over the last eight quarters.
- The year-over-year growth in Other Non-Current Assets has ranged between 0.2% (fiscal Q1 2027) and 72.4% (fiscal Q4 2022) over the last five years.
- Per Business Quant data, MDB's Other Non-Current Assets in the three fiscal quarters before Q2 2027 was $317.26 million (Q1 2027), $323.32 million (Q4 2026) and $311.76 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 678.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 805.54 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 113.30 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 431.03 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 145.03 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 457.14 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 331.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 402.42 Mn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 25.00 Mn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 327.95 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 327.95 Mn |
| Apr 30, 2026 | 317.26 Mn |
| Jan 31, 2026 | 323.32 Mn |
| Oct 31, 2025 | 311.76 Mn |
| Jul 31, 2025 | 308.87 Mn |
| Apr 30, 2025 | 316.50 Mn |
| Jan 31, 2025 | 310.70 Mn |
| Oct 31, 2024 | 271.10 Mn |
| Jul 31, 2024 | 248.34 Mn |
| Apr 30, 2024 | 221.58 Mn |
| Jan 31, 2024 | 217.85 Mn |
| Oct 31, 2023 | 198.71 Mn |
| Jul 31, 2023 | 189.01 Mn |
| Apr 30, 2023 | 182.99 Mn |
| Jan 31, 2023 | 181.50 Mn |
| Oct 31, 2022 | 168.80 Mn |
| Jul 31, 2022 | 159.10 Mn |
| Apr 30, 2022 | 152.17 Mn |
| Jan 31, 2022 | 147.49 Mn |
| Oct 31, 2021 | 110.11 Mn |
API Access
MongoDB Other 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=other-non-current-assets&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();