MongoDB (MDB) Accounts Payables (2017 - 2026)
MongoDB's Accounts Payables was $17.69 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 79.3% from $9.87 million a year earlier but down 57.5% from the prior quarter.
MongoDB (MDB) Accounts Payables (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accounts Payables at MongoDB came in at $20.27 million, up 93.6% from FY2025.
- Accounts Payables has now increased for seven consecutive fiscal years, with a five-year compound annual growth rate of 37.4% (FY2021 to FY2026).
- In earlier fiscal years, Accounts Payables was $10.47 million in FY2025 (+5.7%), $9.91 million in FY2024 (+19.4%), $8.3 million in FY2023 (+58.5%) and $5.23 million in FY2022 (+26.3%).
- Quarterly Accounts Payables has moved between $5.23 million (fiscal Q4 2022) and $41.66 million (fiscal Q1 2027) over five years.
- Compared with a year earlier, Accounts Payables has increased for four straight quarters, with growth averaging 75.8% over the last eight quarters.
- The best year-over-year quarter for Accounts Payables over five years was fiscal Q1 2027 (growth of 386.6%); the worst was fiscal Q1 2026 (a decline of 8.4%).
- Per Business Quant data, MDB's Accounts Payables in the three fiscal quarters before Q2 2027 was $41.66 million (Q1 2027), $20.27 million (Q4 2026) and $14.81 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 290.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 114.49 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 282.50 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 185.25 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 313.53 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 269.96 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 17.69 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 10.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 47.97 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 5.90 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 17.69 Mn |
| Apr 30, 2026 | 41.66 Mn |
| Jan 31, 2026 | 20.27 Mn |
| Oct 31, 2025 | 14.81 Mn |
| Jul 31, 2025 | 9.87 Mn |
| Apr 30, 2025 | 8.56 Mn |
| Jan 31, 2025 | 10.47 Mn |
| Oct 31, 2024 | 11.44 Mn |
| Jul 31, 2024 | 10.14 Mn |
| Apr 30, 2024 | 9.35 Mn |
| Jan 31, 2024 | 9.91 Mn |
| Oct 31, 2023 | 9.34 Mn |
| Jul 31, 2023 | 8.16 Mn |
| Apr 30, 2023 | 7.99 Mn |
| Jan 31, 2023 | 8.30 Mn |
| Oct 31, 2022 | 7.73 Mn |
| Jul 31, 2022 | 7.30 Mn |
| Apr 30, 2022 | 6.20 Mn |
| Jan 31, 2022 | 5.23 Mn |
| Oct 31, 2021 | 5.24 Mn |
MongoDB Accounts Payables 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=accounts-payables&ticker=MDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();