MongoDB (MDB) Total Non-Current Liabilities (2017 - 2026)
MongoDB (MDB) reported Total Non-Current Liabilities of $770.18 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 35.1% from $570.05 million a year earlier and up 5.4% from the prior quarter.
Powered by 
Analysis
MongoDB (MDB) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB posted Total Non-Current Liabilities of $777.04 million, up 26.3% from FY2025.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -10.5% (FY2021 to FY2026).
- By fiscal year, Total Non-Current Liabilities came in at $615.03 million in FY2025 (-65.0%), $1.76 billion in FY2024 (-2.1%), $1.8 billion in FY2023 (+4.1%) and $1.73 billion in FY2022 (+27.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $557.99 million in fiscal Q1 2026 and a high of $1.8 billion in fiscal Q4 2023.
- Year over year, Total Non-Current Liabilities has now increased in each of the last three quarters, with an average decline of 21.1% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q2 2027 (growth of 35.1%); the low point was fiscal Q1 2026 (a decline of 67.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $730.84 million (Q1 2027), $777.04 million (Q4 2026) and $650.25 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 19.68 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 6.57 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 9.17 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 6.45 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 3.16 Bn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 3.68 Bn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 770.18 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 2.11 Bn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 5.20 Bn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 12.63 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 770.18 Mn |
| Apr 30, 2026 | 730.84 Mn |
| Jan 31, 2026 | 777.04 Mn |
| Oct 31, 2025 | 650.25 Mn |
| Jul 31, 2025 | 570.05 Mn |
| Apr 30, 2025 | 557.99 Mn |
| Jan 31, 2025 | 615.03 Mn |
| Oct 31, 2024 | 1.69 Bn |
| Jul 31, 2024 | 1.73 Bn |
| Apr 30, 2024 | 1.73 Bn |
| Jan 31, 2024 | 1.76 Bn |
| Oct 31, 2023 | 1.68 Bn |
| Jul 31, 2023 | 1.71 Bn |
| Apr 30, 2023 | 1.74 Bn |
| Jan 31, 2023 | 1.80 Bn |
| Oct 31, 2022 | 1.73 Bn |
| Jul 31, 2022 | 1.73 Bn |
| Apr 30, 2022 | 1.71 Bn |
| Jan 31, 2022 | 1.73 Bn |
| Oct 31, 2021 | 1.63 Bn |
API Access
MongoDB Total 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=total-non-current-liabilities&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();