MongoDB (MDB) Non Operating Interest Expenses (2016 - 2026)
MongoDB (MDB) posted Non Operating Interest Expenses of $924,000 for 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.
MongoDB (MDB) Non Operating Interest Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Non Operating Interest Expenses at MongoDB was $2.37 million, down 63.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $3.13 million, down 61.3% from FY2025.
- Annual Non Operating Interest Expenses has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -43.9% (FY2021 to FY2026).
- In prior fiscal years, MongoDB's Non Operating Interest Expenses was $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 Non Operating Interest Expenses has run from a low of -$212,000 in fiscal Q4 2026 to a high of $2.61 million in fiscal Q2 2024 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in 1 of the last seven quarters, with an average decline of 31.1%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was fiscal Q3 2025, with growth of 16.0%; the weakest was fiscal Q4 2022, with a decline of 82.4%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior fiscal quarters was $853,000 (Q1 2027), -$212,000 (Q4 2026) and $801,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | -90.00 Mn |
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 |
MongoDB Non Operating 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=non-operating-interest-expenses&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();