MongoDB (MDB) Operating Leases (2019 - 2026)
MongoDB's Operating Leases came in at $19.22 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 26.7% from $26.24 million a year earlier and down 8.7% from the prior quarter.
MongoDB (MDB) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB's Operating Leases was $23.6 million, down 13.8% from FY2025.
- Operating Leases has declined in each of the last five fiscal years, with a five-year compound annual growth rate of -9.6% (FY2021 to FY2026).
- Going back by fiscal year, Operating Leases was $27.37 million in FY2025 (-11.5%), $30.92 million in FY2024 (-14.7%), $36.26 million in FY2023 (-6.3%) and $38.71 million in FY2022 (-1.0%).
- The fiscal Q2 2027 figure represents the lowest quarterly Operating Leases since fiscal Q4 2020.
- Year-over-year, Operating Leases has declined for 19 consecutive quarters, with an average decline of 14.0% over the last eight quarters.
- The fastest year-over-year change in Operating Leases over five years came in fiscal Q3 2022 (growth of 12.5%), and the weakest in fiscal Q2 2027 (a decline of 26.7%).
- Business Quant data shows MDB's Operating Leases at $21.07 million (Q1 2027), $23.6 million (Q4 2026) and $25.48 million (Q3 2026) in the three fiscal quarters before Q2 2027.
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
| Date | Value |
|---|---|
| Jul 31, 2026 | 19.22 Mn |
| Apr 30, 2026 | 21.07 Mn |
| Jan 31, 2026 | 23.60 Mn |
| Oct 31, 2025 | 25.48 Mn |
| Jul 31, 2025 | 26.24 Mn |
| Apr 30, 2025 | 28.09 Mn |
| Jan 31, 2025 | 27.37 Mn |
| Oct 31, 2024 | 27.64 Mn |
| Jul 31, 2024 | 28.88 Mn |
| Apr 30, 2024 | 28.42 Mn |
| Jan 31, 2024 | 30.92 Mn |
| Oct 31, 2023 | 33.13 Mn |
| Jul 31, 2023 | 36.96 Mn |
| Apr 30, 2023 | 35.61 Mn |
| Jan 31, 2023 | 36.26 Mn |
| Oct 31, 2022 | 37.26 Mn |
| Jul 31, 2022 | 40.44 Mn |
| Apr 30, 2022 | 40.28 Mn |
| Jan 31, 2022 | 38.71 Mn |
| Oct 31, 2021 | 41.07 Mn |
MongoDB Operating Leases 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=operating-leases&ticker=MDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();