MongoDB (MDB) Other Operating Expenses (2016 - 2026)
MongoDB's Other Operating Expenses came in at $253.07 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 3.7% from $244.07 million a year earlier and up 1.5% from the prior quarter.
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Analysis
MongoDB (MDB) Other Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, MongoDB reported Other Operating Expenses of $981.81 million, up 9.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $944.39 million, up 8.4% from FY2025.
- Other Operating Expenses has increased in each of the last seven fiscal years, with a five-year compound annual growth rate of 23.8% (FY2021 to FY2026).
- Going back by fiscal year, Other Operating Expenses was $871.15 million in FY2025 (+11.3%), $782.76 million in FY2024 (+12.0%), $699.2 million in FY2023 (+48.2%) and $471.89 million in FY2022 (+45.2%).
- The fiscal Q2 2027 figure represents the highest quarterly Other Operating Expenses in data going back to fiscal Q3 2017.
- Year-over-year, Other Operating Expenses has increased for 28 consecutive quarters, with growth averaging 8.0% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 0.5% (fiscal Q4 2025) and 66.0% (fiscal Q2 2023) over the last five years.
- Business Quant data shows MDB's Other Operating Expenses at $249.33 million (Q1 2027), $248.54 million (Q4 2026) and $230.86 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 253.07 Mn |
| Apr 30, 2026 | 249.33 Mn |
| Jan 31, 2026 | 248.54 Mn |
| Oct 31, 2025 | 230.86 Mn |
| Jul 31, 2025 | 244.07 Mn |
| Apr 30, 2025 | 220.92 Mn |
| Jan 31, 2025 | 212.21 Mn |
| Oct 31, 2024 | 217.95 Mn |
| Jul 31, 2024 | 221.54 Mn |
| Apr 30, 2024 | 219.44 Mn |
| Jan 31, 2024 | 211.12 Mn |
| Oct 31, 2023 | 192.98 Mn |
| Jul 31, 2023 | 195.93 Mn |
| Apr 30, 2023 | 182.73 Mn |
| Jan 31, 2023 | 189.92 Mn |
| Oct 31, 2022 | 177.42 Mn |
| Jul 31, 2022 | 181.60 Mn |
| Apr 30, 2022 | 150.27 Mn |
| Jan 31, 2022 | 144.26 Mn |
| Oct 31, 2021 | 120.36 Mn |
API Access
MongoDB Other Operating 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=other-operating-expenses&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();