MongoDB (MDB) Change in Receivables (2017 - 2026)
MongoDB (MDB) posted Change in Receivables of $69.26 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 81.8% from $38.09 million a year earlier.
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Analysis
MongoDB (MDB) Change in Receivables (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Change in Receivables at MongoDB was $104.52 million, up 156.6% year-over-year; for FY2026 (ended Jan 31, 2026), it was $106.41 million, up 53.7% from FY2025.
- Annual Change in Receivables shows a five-year compound annual growth rate of 17.4% (FY2021 to FY2026).
- In prior fiscal years, MongoDB's Change in Receivables was $69.24 million in FY2025 (+66.3%), $41.64 million in FY2024 (-54.5%), $91.45 million in FY2023 (+46.8%) and $62.28 million in FY2022 (+30.7%).
- Quarterly Change in Receivables has run from a low of -$112.95 million in fiscal Q1 2027 to a high of $81.22 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Change in Receivables increased in four of the last five quarters, with growth averaging 57.2%.
- The strongest year-over-year quarter for Change in Receivables in the past five years was fiscal Q4 2023, with growth of 245.7%; the weakest was fiscal Q3 2024, with a decline of 97.9%.
- According to Business Quant data, Change in Receivables for the three prior fiscal quarters was -$112.95 million (Q1 2027), $81.22 million (Q4 2026) and $66.99 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 776.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 104.65 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | -29.90 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 146.59 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 151.65 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 305.83 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 69.26 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 83.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | - |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 69.26 Mn |
| Apr 30, 2026 | -112.95 Mn |
| Jan 31, 2026 | 81.22 Mn |
| Oct 31, 2025 | 66.99 Mn |
| Jul 31, 2025 | 38.09 Mn |
| Apr 30, 2025 | -79.90 Mn |
| Jan 31, 2025 | 57.98 Mn |
| Oct 31, 2024 | 24.56 Mn |
| Jul 31, 2024 | 46.03 Mn |
| Apr 30, 2024 | -59.33 Mn |
| Jan 31, 2024 | 53.40 Mn |
| Oct 31, 2023 | 397,000.00 |
| Jul 31, 2023 | 61.21 Mn |
| Apr 30, 2023 | -73.36 Mn |
| Jan 31, 2023 | 53.19 Mn |
| Oct 31, 2022 | 18.78 Mn |
| Jul 31, 2022 | 48.22 Mn |
| Apr 30, 2022 | -28.74 Mn |
| Jan 31, 2022 | 15.39 Mn |
| Oct 31, 2021 | 63.22 Mn |
API Access
MongoDB Change in 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=change-in-receivables&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();