MongoDB (MDB) Goodwill & Intangibles (2017 - 2026)
MongoDB (MDB) reported Goodwill & Intangibles of $234.88 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 1.3% from $231.75 million a year earlier and up 5.7% from the prior quarter.
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Analysis
MongoDB (MDB) Goodwill & Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB posted Goodwill & Intangibles of $225.9 million, up 139.6% from FY2025.
- Goodwill & Intangibles has a five-year compound annual growth rate of 22.4% (FY2021 to FY2026).
- By fiscal year, Goodwill & Intangibles came in at $94.28 million in FY2025 (+28.0%), $73.64 million in FY2024 (-9.2%), $81.11 million in FY2023 (+3.5%) and $78.38 million in FY2022 (-4.5%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Goodwill & Intangibles since fiscal Q1 2026.
- Year over year, Goodwill & Intangibles gained in six of the last eight quarters, with growth averaging 104.6%.
- The high point for year-over-year Goodwill & Intangibles in five years was fiscal Q1 2026 (growth of 231.9%); the low point was fiscal Q2 2024 (a decline of 12.4%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $222.25 million (Q1 2027), $225.9 million (Q4 2026) and $227.95 million (Q3 2026).
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 | 234.88 Mn |
| Apr 30, 2026 | 222.25 Mn |
| Jan 31, 2026 | 225.90 Mn |
| Oct 31, 2025 | 227.95 Mn |
| Jul 31, 2025 | 231.75 Mn |
| Apr 30, 2025 | 235.56 Mn |
| Jan 31, 2025 | 94.28 Mn |
| Oct 31, 2024 | 70.64 Mn |
| Jul 31, 2024 | 70.81 Mn |
| Apr 30, 2024 | 70.98 Mn |
| Jan 31, 2024 | 73.64 Mn |
| Oct 31, 2023 | 76.81 Mn |
| Jul 31, 2023 | 64.62 Mn |
| Apr 30, 2023 | 66.91 Mn |
| Jan 31, 2023 | 81.11 Mn |
| Oct 31, 2022 | 71.50 Mn |
| Jul 31, 2022 | 73.80 Mn |
| Apr 30, 2022 | 76.09 Mn |
| Jan 31, 2022 | 78.38 Mn |
| Oct 31, 2021 | 80.68 Mn |
API Access
MongoDB Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();