MongoDB (MDB) Capital Expenditures (2017 - 2026)
MongoDB's Capital Expenditures was $2.47 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 360.3% from $537,000 a year earlier and up 6.6% from the prior quarter.
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Analysis
MongoDB (MDB) Capital Expenditures (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, MongoDB's Capital Expenditures was $7.6 million through Jul 31, 2026, down 74.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $4.96 million, down 83.2% from FY2025.
- Capital Expenditures shows a five-year compound annual growth rate of -15.9% (FY2021 to FY2026).
- In earlier fiscal years, Capital Expenditures was $29.55 million in FY2025 (+386.5%), $6.07 million in FY2024 (-16.2%), $7.24 million in FY2023 (-10.3%) and $8.07 million in FY2022 (-31.4%).
- The fiscal Q2 2027 figure marks the highest quarterly Capital Expenditures since fiscal Q4 2025.
- Compared with a year earlier, Capital Expenditures was higher in four of the last eight quarters, with growth averaging 160.9%.
- The best year-over-year quarter for Capital Expenditures over five years was fiscal Q4 2025 (growth of 848.8%); the worst was fiscal Q4 2026 (a decline of 95.6%).
- Per Business Quant data, MDB's Capital Expenditures in the three fiscal quarters before Q2 2027 was $2.32 million (Q1 2027), $1.13 million (Q4 2026) and $1.68 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 21.05 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 2.47 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 1.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | -1.68 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.47 Mn |
| Apr 30, 2026 | 2.32 Mn |
| Jan 31, 2026 | 1.13 Mn |
| Oct 31, 2025 | 1.68 Mn |
| Jul 31, 2025 | 537,000.00 |
| Apr 30, 2025 | 1.61 Mn |
| Jan 31, 2025 | 25.98 Mn |
| Oct 31, 2024 | 1.98 Mn |
| Jul 31, 2024 | 1.05 Mn |
| Apr 30, 2024 | 539,000.00 |
| Jan 31, 2024 | 2.74 Mn |
| Oct 31, 2023 | 2.08 Mn |
| Jul 31, 2023 | 635,000.00 |
| Apr 30, 2023 | 623,000.00 |
| Jan 31, 2023 | 711,000.00 |
| Oct 31, 2022 | 1.38 Mn |
| Jul 31, 2022 | 2.61 Mn |
| Apr 30, 2022 | 2.54 Mn |
| Jan 31, 2022 | 3.56 Mn |
| Oct 31, 2021 | 2.18 Mn |
API Access
MongoDB Capital Expenditures 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=capital-expenditures&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();