MongoDB (MDB) EBITDA Margin (2017 - 2026)
MongoDB's EBITDA Margin was 4.45% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 14.53 percentage points from -10.08% a year earlier and up 7.25 percentage points from the prior quarter.
MongoDB (MDB) EBITDA Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, MongoDB's EBITDA Margin was 0.30% through Jul 31, 2026, up 7.05 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -4.65%, up 5.53 percentage points from FY2025.
- EBITDA Margin has now increased for five consecutive fiscal years, with a five-year change of +28.40 percentage points (FY2021 to FY2026).
- In earlier fiscal years, EBITDA Margin was -10.18% in FY2025 (+2.58 pp), -12.76% in FY2024 (+12.98 pp), -25.74% in FY2023 (+5.81 pp) and -31.55% in FY2022 (+1.50 pp).
- The fiscal Q2 2027 figure marks the highest quarterly EBITDA Margin in data going back to fiscal Q4 2017.
- Compared with a year earlier, EBITDA Margin has increased for eight straight quarters, with an average year-over-year change of +7.41 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q2 2024 (a gain of 25.94 percentage points); the worst was fiscal Q2 2025 (a drop of 3.87 percentage points).
- Per Business Quant data, MDB's EBITDA Margin in the three fiscal quarters before Q2 2027 was -2.80% (Q1 2027), 0.87% (Q4 2026) and -2.03% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.43 Bn | 245.50 Bn | 2.30 Bn | 20.32% |
| 2 | CrowdStrike Holdings | 233.29 Bn | 213.69 Bn | 1.10 Bn | 11.58% |
| 3 | Fortinet | 126.75 Bn | 112.68 Bn | 1.64 Bn | 40.40% |
| 4 | Snowflake | 110.58 Bn | 97.90 Bn | 1.04 Bn | -8.70% |
| 5 | Datadog | 93.47 Bn | 75.11 Bn | 881.34 Mn | 4.19% |
| 6 | Zscaler | 34.13 Bn | 20.25 Bn | - | - |
| 7 | Okta | 33.43 Bn | 23.52 Bn | 641.00 Mn | 20.62% |
| 8 | Axon Enterprise | 30.80 Bn | 25.33 Bn | 546.45 Mn | 8.76% |
| 9 | MongoDB | 27.82 Bn | 18.29 Bn | 569.77 Mn | 4.58% |
| 10 | F5 | 25.93 Bn | 20.34 Bn | 711.51 Mn | 27.36% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.58% |
| Apr 30, 2026 | -2.65% |
| Jan 31, 2026 | 1.01% |
| Oct 31, 2025 | -1.87% |
| Jul 31, 2025 | -9.91% |
| Apr 30, 2025 | -8.61% |
| Jan 31, 2025 | -2.81% |
| Oct 31, 2024 | -4.62% |
| Jul 31, 2024 | -14.24% |
| Apr 30, 2024 | -20.50% |
| Jan 31, 2024 | -14.04% |
| Oct 31, 2023 | -9.13% |
| Jul 31, 2023 | -10.34% |
| Apr 30, 2023 | -17.16% |
| Jan 31, 2023 | -18.75% |
| Oct 31, 2022 | -23.31% |
| Jul 31, 2022 | -36.19% |
| Apr 30, 2022 | -24.93% |
| Jan 31, 2022 | -27.80% |
| Oct 31, 2021 | -31.91% |
MongoDB EBITDA Margin 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=ebitda-margin&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();