MongoDB (MDB) Interest Expenses (2016 - 2026)
MongoDB (MDB) recorded Interest Expenses of $924,000 in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 37.3% from $1.47 million a year earlier but up 8.3% from the prior quarter.
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Analysis
MongoDB (MDB) Interest Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, MongoDB's Interest Expenses came in at $2.37 million as of Jul 31, 2026, down 63.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $3.13 million, down 61.3% from FY2025.
- Annual Interest Expenses has declined for five straight fiscal years, with a five-year compound annual growth rate of -43.9% (FY2021 to FY2026).
- Across earlier fiscal years, Interest Expenses came in at $8.09 million in FY2025 (-13.8%), $9.39 million in FY2024 (-4.2%), $9.8 million in FY2023 (-13.4%) and $11.32 million in FY2022 (-79.8%).
- Quarterly Interest Expenses has ranged from -$212,000 in fiscal Q4 2026 to $2.61 million in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Interest Expenses rose in 1 of the last seven quarters, with an average decline of 31.1%.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 16.0% in fiscal Q3 2025, against a decline of 82.4% in fiscal Q4 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $853,000 (Q1 2027), -$212,000 (Q4 2026) and $801,000 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 6.05 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 28.10 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 924,000.00 |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | -19.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | -89.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 924,000.00 |
| Apr 30, 2026 | 853,000.00 |
| Jan 31, 2026 | -212,000.00 |
| Oct 31, 2025 | 801,000.00 |
| Jul 31, 2025 | 1.47 Mn |
| Apr 30, 2025 | 1.07 Mn |
| Jan 31, 2025 | 1.64 Mn |
| Oct 31, 2024 | 2.28 Mn |
| Jul 31, 2024 | 2.28 Mn |
| Apr 30, 2024 | 1.90 Mn |
| Jan 31, 2024 | 2.42 Mn |
| Oct 31, 2023 | 1.96 Mn |
| Jul 31, 2023 | 2.61 Mn |
| Apr 30, 2023 | 2.39 Mn |
| Jan 31, 2023 | 2.42 Mn |
| Oct 31, 2022 | 2.50 Mn |
| Jul 31, 2022 | 2.43 Mn |
| Apr 30, 2022 | 2.45 Mn |
| Jan 31, 2022 | 2.51 Mn |
| Oct 31, 2021 | 2.60 Mn |
API Access
MongoDB Interest Expenses 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=interest-expenses&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();