MongoDB (MDB) Total Current Liabilities (2017 - 2026)
MongoDB's Total Current Liabilities came in at $642.37 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 26.0% from $509.83 million a year earlier and up 3.9% from the prior quarter.
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Analysis
MongoDB (MDB) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB's Total Current Liabilities was $669.5 million, up 19.1% from FY2025.
- Total Current Liabilities carries a five-year compound annual growth rate of 13.6% (FY2021 to FY2026).
- Going back by fiscal year, Total Current Liabilities was $561.99 million in FY2025 (-0.4%), $564.22 million in FY2024 (-4.1%), $588.51 million in FY2023 (+11.7%) and $526.74 million in FY2022 (+48.6%).
- The five-year range for quarterly Total Current Liabilities is $432.2 million (fiscal Q3 2022) to $1.64 billion (fiscal Q3 2025).
- Year-over-year, Total Current Liabilities has increased for three consecutive quarters, with growth averaging 28.1% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in fiscal Q3 2025 (growth of 235.2%), and the weakest in fiscal Q3 2026 (a decline of 66.0%).
- Business Quant data shows MDB's Total Current Liabilities at $618.18 million (Q1 2027), $669.5 million (Q4 2026) and $558.03 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 1.40 Bn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 642.37 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 2.03 Bn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 2.96 Bn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 13.13 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 642.37 Mn |
| Apr 30, 2026 | 618.18 Mn |
| Jan 31, 2026 | 669.50 Mn |
| Oct 31, 2025 | 558.03 Mn |
| Jul 31, 2025 | 509.83 Mn |
| Apr 30, 2025 | 505.00 Mn |
| Jan 31, 2025 | 561.99 Mn |
| Oct 31, 2024 | 1.64 Bn |
| Jul 31, 2024 | 541.16 Mn |
| Apr 30, 2024 | 537.49 Mn |
| Jan 31, 2024 | 564.22 Mn |
| Oct 31, 2023 | 489.56 Mn |
| Jul 31, 2023 | 512.30 Mn |
| Apr 30, 2023 | 532.57 Mn |
| Jan 31, 2023 | 588.51 Mn |
| Oct 31, 2022 | 517.81 Mn |
| Jul 31, 2022 | 524.90 Mn |
| Apr 30, 2022 | 503.72 Mn |
| Jan 31, 2022 | 526.74 Mn |
| Oct 31, 2021 | 432.20 Mn |
API Access
MongoDB Total 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-current-liabilities&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();