MongoDB (MDB) Cost of Revenue (2016 - 2026)
MongoDB (MDB) posted Cost of Revenue of $202.01 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 17.8% from $171.43 million a year earlier and up 5.5% from the prior quarter.
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Analysis
MongoDB (MDB) Cost of Revenue (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Cost of Revenue at MongoDB was $760.04 million, up 23.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $696.06 million, up 30.0% from FY2025.
- Annual Cost of Revenue has increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 31.5% (FY2021 to FY2026).
- In prior fiscal years, MongoDB's Cost of Revenue was $535.3 million in FY2025 (+26.1%), $424.49 million in FY2024 (+21.5%), $349.3 million in FY2023 (+34.6%) and $259.49 million in FY2022 (+46.5%).
- The fiscal Q2 2027 figure stands as the highest quarterly Cost of Revenue in data going back to fiscal Q3 2017.
- On a year-over-year basis, Cost of Revenue has increased in each of the last 36 quarters, with growth averaging 27.0% over the last eight quarters.
- Across the past five years, year-over-year growth in Cost of Revenue ran from 14.3% in fiscal Q3 2024 to 48.7% in fiscal Q4 2022.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $191.44 million (Q1 2027), $187.41 million (Q4 2026) and $179.18 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 1.11 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 374.00 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 404.70 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 510.08 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 240.11 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 357.94 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 164.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.82 Bn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 202.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 202.01 Mn |
| Apr 30, 2026 | 191.44 Mn |
| Jan 31, 2026 | 187.41 Mn |
| Oct 31, 2025 | 179.18 Mn |
| Jul 31, 2025 | 171.43 Mn |
| Apr 30, 2025 | 158.04 Mn |
| Jan 31, 2025 | 149.02 Mn |
| Oct 31, 2024 | 135.33 Mn |
| Jul 31, 2024 | 128.25 Mn |
| Apr 30, 2024 | 122.70 Mn |
| Jan 31, 2024 | 114.64 Mn |
| Oct 31, 2023 | 107.06 Mn |
| Jul 31, 2023 | 105.34 Mn |
| Apr 30, 2023 | 97.45 Mn |
| Jan 31, 2023 | 89.16 Mn |
| Oct 31, 2022 | 93.65 Mn |
| Jul 31, 2022 | 88.28 Mn |
| Apr 30, 2022 | 78.22 Mn |
| Jan 31, 2022 | 75.80 Mn |
| Oct 31, 2021 | 68.46 Mn |
API Access
MongoDB Cost of Revenue 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=cost-of-revenue&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();