MongoDB (MDB) Receivables (2017 - 2026)
MongoDB's Receivables came in at $483.22 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 30.5% from $370.26 million a year earlier and up 17.1% from the prior quarter.
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Analysis
MongoDB (MDB) Receivables (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB's Receivables was $518.8 million, up 24.8% from FY2025.
- Receivables has increased in each of the last nine fiscal years, with a five-year compound annual growth rate of 29.8% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $415.6 million in FY2025 (+19.3%), $348.31 million in FY2024 (+18.1%), $294.89 million in FY2023 (+46.4%) and $201.48 million in FY2022 (+43.0%).
- The five-year range for quarterly Receivables is $171.29 million (fiscal Q1 2023) to $518.8 million (fiscal Q4 2026).
- Year-over-year, Receivables has increased for 32 consecutive quarters, with growth averaging 21.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Receivables ran from 12.6% in fiscal Q2 2026 to 99.1% in fiscal Q3 2022.
- Business Quant data shows MDB's Receivables at $412.79 million (Q1 2027), $518.8 million (Q4 2026) and $433.79 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 483.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 483.22 Mn |
| Apr 30, 2026 | 412.79 Mn |
| Jan 31, 2026 | 518.80 Mn |
| Oct 31, 2025 | 433.79 Mn |
| Jul 31, 2025 | 370.26 Mn |
| Apr 30, 2025 | 343.82 Mn |
| Jan 31, 2025 | 415.60 Mn |
| Oct 31, 2024 | 348.33 Mn |
| Jul 31, 2024 | 328.87 Mn |
| Apr 30, 2024 | 284.93 Mn |
| Jan 31, 2024 | 348.31 Mn |
| Oct 31, 2023 | 293.38 Mn |
| Jul 31, 2023 | 285.09 Mn |
| Apr 30, 2023 | 220.38 Mn |
| Jan 31, 2023 | 294.89 Mn |
| Oct 31, 2022 | 240.16 Mn |
| Jul 31, 2022 | 220.77 Mn |
| Apr 30, 2022 | 171.29 Mn |
| Jan 31, 2022 | 201.48 Mn |
| Oct 31, 2021 | 182.70 Mn |
API Access
MongoDB Receivables 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=receivables&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();