MongoDB (MDB) Tax Provisions (2016 - 2026)
MongoDB (MDB) recorded Tax Provisions of $5.01 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 27.4% from $3.93 million a year earlier and up 13.8% from the prior quarter.
Powered by 
Analysis
MongoDB (MDB) Tax Provisions (2016 - 2026) Analysis & Trends
On a TTM basis, MongoDB's Tax Provisions came in at $16.71 million as of Jul 31, 2026; for FY2026 (ended Jan 31, 2026), it was $15.5 million.
- Annual Tax Provisions has a five-year compound annual growth rate of 29.5% (FY2021 to FY2026).
- Across earlier fiscal years, Tax Provisions came in at -$2.53 million in FY2025, $13.1 million in FY2024 (+7.9%), $12.14 million in FY2023 (+205.4%) and $3.98 million in FY2022 (-6.4%).
- The fiscal Q2 2027 figure is the highest quarterly Tax Provisions since fiscal Q3 2023.
- On a year-over-year basis, Tax Provisions rose in five of the last six quarters, with growth averaging 16.0%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 142.9% in fiscal Q3 2022, against a decline of 27.8% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $4.4 million (Q1 2027), $3.9 million (Q4 2026) and $3.4 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 13.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -1.40 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 115.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.43 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 7.20 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 3.26 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 10.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 147.00 Mn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 5.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.01 Mn |
| Apr 30, 2026 | 4.40 Mn |
| Jan 31, 2026 | 3.90 Mn |
| Oct 31, 2025 | 3.40 Mn |
| Jul 31, 2025 | 3.93 Mn |
| Apr 30, 2025 | 4.30 Mn |
| Jan 31, 2025 | -11.67 Mn |
| Oct 31, 2024 | 2.70 Mn |
| Jul 31, 2024 | 3.90 Mn |
| Apr 30, 2024 | 2.60 Mn |
| Jan 31, 2024 | 3.39 Mn |
| Oct 31, 2023 | 3.64 Mn |
| Jul 31, 2023 | 3.60 Mn |
| Apr 30, 2023 | 2.50 Mn |
| Jan 31, 2023 | 2.91 Mn |
| Oct 31, 2022 | 5.04 Mn |
| Jul 31, 2022 | 3.05 Mn |
| Apr 30, 2022 | 1.15 Mn |
| Jan 31, 2022 | 1.57 Mn |
| Oct 31, 2021 | 2.25 Mn |
API Access
MongoDB Tax Provisions 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=tax-provisions&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();