MongoDB (MDB) Return on Capital Employed [ROCE] (2018 - 2026)
MongoDB (MDB) reported Return on Capital Employed [ROCE] of -0.47% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 4.91 percentage points from -5.38% a year earlier and up 3.01 percentage points from the prior quarter.
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Analysis
MongoDB (MDB) Return on Capital Employed [ROCE] (2018 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), MongoDB posted Return on Capital Employed [ROCE] of -4.68%, up 3.67 percentage points from FY2025.
- Return on Capital Employed [ROCE] has increased for five consecutive fiscal years, with a five-year change of +15.97 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Capital Employed [ROCE] came in at -8.35% in FY2025 (+2.45 pp), -10.80% in FY2024 (+7.16 pp), -17.95% in FY2023 (+2.69 pp) and -20.64% in FY2022 (+0.01 pp).
- The fiscal Q2 2027 figure ranks as the highest quarterly Return on Capital Employed [ROCE] in data going back to fiscal Q4 2018.
- Year over year, Return on Capital Employed [ROCE] has now increased in each of the last seven quarters, with an average year-over-year change of +3.72 percentage points over the last eight quarters.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was fiscal Q3 2026 (a gain of 12.26 percentage points); the low point was fiscal Q3 2025 (a drop of 6.66 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at -3.48% (Q1 2027), -4.58% (Q4 2026) and -5.20% (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 1.86% |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -1.66% |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 44.16% |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -25.24% |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 0.30% |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 0.40% |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 3.21% |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | -1.83% |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | -0.47% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -0.47% |
| Apr 30, 2026 | -3.48% |
| Jan 31, 2026 | -4.58% |
| Oct 31, 2025 | -5.20% |
| Jul 31, 2025 | -5.38% |
| Apr 30, 2025 | -5.67% |
| Jan 31, 2025 | -7.81% |
| Oct 31, 2024 | -17.46% |
| Jul 31, 2024 | -11.24% |
| Apr 30, 2024 | -10.91% |
| Jan 31, 2024 | -10.54% |
| Oct 31, 2023 | -10.80% |
| Jul 31, 2023 | -13.01% |
| Apr 30, 2023 | -16.53% |
| Jan 31, 2023 | -17.87% |
| Oct 31, 2022 | -18.15% |
| Jul 31, 2022 | -18.05% |
| Apr 30, 2022 | -15.68% |
| Jan 31, 2022 | -15.44% |
| Oct 31, 2021 | -14.34% |
API Access
MongoDB Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();