MongoDB (MDB) Other Non-Current Liabilities (2017 - 2026)
MongoDB (MDB) reported Other Non-Current Liabilities of $27.53 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 5.2% from $29.04 million a year earlier but up 2.4% from the prior quarter.
MongoDB (MDB) Other Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB posted Other Non-Current Liabilities of $29.45 million, down 10.9% from FY2025.
- Other Non-Current Liabilities has declined for seven consecutive fiscal years, with a five-year compound annual growth rate of -13.0% (FY2021 to FY2026).
- By fiscal year, Other Non-Current Liabilities came in at $33.04 million in FY2025 (-20.7%), $41.66 million in FY2024 (-21.4%), $52.98 million in FY2023 (-8.1%) and $57.67 million in FY2022 (-2.5%).
- Five-year quarterly Other Non-Current Liabilities spans a low of $26.89 million in fiscal Q1 2027 and a high of $60.92 million in fiscal Q3 2022.
- Year over year, Other Non-Current Liabilities has now declined in each of the last 20 quarters, with an average decline of 15.9% over the last eight quarters.
- Across the past five years, year-over-year decline in Other Non-Current Liabilities ran from 0.2% in fiscal Q3 2022 to 28.6% in fiscal Q2 2025.
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $26.89 million (Q1 2027), $29.45 million (Q4 2026) and $27.96 million (Q3 2026).
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
| Date | Value |
|---|---|
| Jul 31, 2026 | 27.53 Mn |
| Apr 30, 2026 | 26.89 Mn |
| Jan 31, 2026 | 29.45 Mn |
| Oct 31, 2025 | 27.96 Mn |
| Jul 31, 2025 | 29.04 Mn |
| Apr 30, 2025 | 33.48 Mn |
| Jan 31, 2025 | 33.04 Mn |
| Oct 31, 2024 | 34.88 Mn |
| Jul 31, 2024 | 36.50 Mn |
| Apr 30, 2024 | 38.16 Mn |
| Jan 31, 2024 | 41.66 Mn |
| Oct 31, 2023 | 42.79 Mn |
| Jul 31, 2023 | 51.13 Mn |
| Apr 30, 2023 | 53.05 Mn |
| Jan 31, 2023 | 52.98 Mn |
| Oct 31, 2022 | 54.37 Mn |
| Jul 31, 2022 | 55.34 Mn |
| Apr 30, 2022 | 56.65 Mn |
| Jan 31, 2022 | 57.67 Mn |
| Oct 31, 2021 | 60.92 Mn |
MongoDB Other Non-Current Liabilities 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-liabilities&ticker=MDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "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-liabilities&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();