MongoDB (MDB) Long-Term Debt Repayments (2019 - 2026)
MongoDB (MDB) posted Long-Term Debt Repayments of $1.79 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.9% from $1.69 million a year earlier and up 1.5% from the prior quarter.
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Analysis
MongoDB (MDB) Long-Term Debt Repayments (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Long-Term Debt Repayments at MongoDB was $7.01 million, up 5.8% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $7.54 million, up 22.0% from FY2025.
- Annual Long-Term Debt Repayments has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 10.2% (FY2021 to FY2026).
- In prior fiscal years, MongoDB's Long-Term Debt Repayments was $6.18 million in FY2025 (+12.7%), $5.48 million in FY2024 (+21.6%), $4.51 million in FY2023 (-19.1%) and $5.57 million in FY2022 (+20.3%).
- The fiscal Q2 2027 figure stands as the highest quarterly Long-Term Debt Repayments since fiscal Q1 2026.
- On a year-over-year basis, Long-Term Debt Repayments increased in six of the last eight quarters, with growth averaging 10.4%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q1 2024, with growth of 125.5%; the weakest was fiscal Q1 2023, with a decline of 50.4%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $1.76 million (Q1 2027), $1.74 million (Q4 2026) and $1.72 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 160.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | - |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | - |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | - |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | - |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | - |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | - |
| 10 | MongoDB | 28.08 Bn | 18.55 Bn | 569.77 Mn | 1.79 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.79 Mn |
| Apr 30, 2026 | 1.76 Mn |
| Jan 31, 2026 | 1.74 Mn |
| Oct 31, 2025 | 1.72 Mn |
| Jul 31, 2025 | 1.69 Mn |
| Apr 30, 2025 | 2.39 Mn |
| Jan 31, 2025 | 1.65 Mn |
| Oct 31, 2024 | 895,000.00 |
| Jul 31, 2024 | 1.55 Mn |
| Apr 30, 2024 | 2.09 Mn |
| Jan 31, 2024 | 1.40 Mn |
| Oct 31, 2023 | 1.38 Mn |
| Jul 31, 2023 | 1.36 Mn |
| Apr 30, 2023 | 1.34 Mn |
| Jan 31, 2023 | 1.32 Mn |
| Oct 31, 2022 | 1.31 Mn |
| Jul 31, 2022 | 1.29 Mn |
| Apr 30, 2022 | 595,000.00 |
| Jan 31, 2022 | 1.92 Mn |
| Oct 31, 2021 | 1.23 Mn |
API Access
MongoDB Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();