MongoDB (MDB) Non-Current Deffered Revenue (2017 - 2026)
MongoDB's Non-Current Deffered Revenue was $108.23 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 225.3% from $33.27 million a year earlier and up 18.6% from the prior quarter.
MongoDB (MDB) Non-Current Deffered Revenue (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Non-Current Deffered Revenue at MongoDB came in at $83.59 million, up 229.0% from FY2025.
- Non-Current Deffered Revenue shows a five-year compound annual growth rate of 38.3% (FY2021 to FY2026).
- In earlier fiscal years, Non-Current Deffered Revenue was $25.4 million in FY2025 (+25.2%), $20.3 million in FY2024 (-35.6%), $31.52 million in FY2023 (+36.0%) and $23.18 million in FY2022 (+40.1%).
- The fiscal Q2 2027 figure marks the highest quarterly Non-Current Deffered Revenue in data going back to fiscal Q4 2017.
- Compared with a year earlier, Non-Current Deffered Revenue has increased for eight straight quarters, with growth averaging 147.7% over the last eight quarters.
- The best year-over-year quarter for Non-Current Deffered Revenue over five years was fiscal Q1 2027 (growth of 275.0%); the worst was fiscal Q3 2024 (a decline of 48.7%).
- Per Business Quant data, MDB's Non-Current Deffered Revenue in the three fiscal quarters before Q2 2027 was $91.24 million (Q1 2027), $83.59 million (Q4 2026) and $66.17 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Deffered Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 7.01 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 1.35 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 3.83 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 27.76 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 50.86 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 385.66 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 108.23 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 30.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 445.27 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 108.23 Mn |
| Apr 30, 2026 | 91.24 Mn |
| Jan 31, 2026 | 83.59 Mn |
| Oct 31, 2025 | 66.17 Mn |
| Jul 31, 2025 | 33.27 Mn |
| Apr 30, 2025 | 24.33 Mn |
| Jan 31, 2025 | 25.40 Mn |
| Oct 31, 2024 | 18.48 Mn |
| Jul 31, 2024 | 15.61 Mn |
| Apr 30, 2024 | 16.21 Mn |
| Jan 31, 2024 | 20.30 Mn |
| Oct 31, 2023 | 17.44 Mn |
| Jul 31, 2023 | 20.29 Mn |
| Apr 30, 2023 | 25.55 Mn |
| Jan 31, 2023 | 31.52 Mn |
| Oct 31, 2022 | 34.01 Mn |
| Jul 31, 2022 | 24.46 Mn |
| Apr 30, 2022 | 23.56 Mn |
| Jan 31, 2022 | 23.18 Mn |
| Oct 31, 2021 | 18.70 Mn |
MongoDB Non-Current Deffered 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=non-current-deffered-revenue&ticker=MDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-deffered-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=non-current-deffered-revenue&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();