MongoDB (MDB) Depreciation and Depletion (2019 - 2026)
MongoDB's Depreciation and Depletion was $993,000 in fiscal Q2 2027 (quarter ended Jul 31, 2026), unchanged from $993,000 a year earlier and down 0.1% from the prior quarter.
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Analysis
MongoDB (MDB) Depreciation and Depletion (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, MongoDB's Depreciation and Depletion was $3.98 million through Jul 31, 2026, up 0.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $3.97 million, unchanged from FY2025.
- Depreciation and Depletion shows a five-year compound annual growth rate of 0.0% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $3.97 million in FY2025 (unchanged), $3.98 million in FY2024 (unchanged), $3.97 million in FY2023 (unchanged) and $3.97 million in FY2022 (unchanged).
- Quarterly Depreciation and Depletion has moved between $993,000 (fiscal Q3 2022) and $995,000 (fiscal Q3 2026) over five years.
- Compared with a year earlier, Depreciation and Depletion was higher in two of the last eight quarters, with an average year-over-year change of 0.0%.
- Per Business Quant data, MDB's Depreciation and Depletion in the three fiscal quarters before Q2 2027 was $994,000 (Q1 2027), $993,000 (Q4 2026) and $995,000 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | - |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 31.50 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 26.40 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | - |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | - |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | - |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | - |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 993,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 993,000.00 |
| Apr 30, 2026 | 994,000.00 |
| Jan 31, 2026 | 993,000.00 |
| Oct 31, 2025 | 995,000.00 |
| Jul 31, 2025 | 993,000.00 |
| Apr 30, 2025 | 993,000.00 |
| Jan 31, 2025 | 993,000.00 |
| Oct 31, 2024 | 994,000.00 |
| Jul 31, 2024 | 994,000.00 |
| Apr 30, 2024 | 993,000.00 |
| Jan 31, 2024 | 994,000.00 |
| Oct 31, 2023 | 994,000.00 |
| Jul 31, 2023 | 993,000.00 |
| Apr 30, 2023 | 994,000.00 |
| Jan 31, 2023 | 993,000.00 |
| Oct 31, 2022 | 994,000.00 |
| Jul 31, 2022 | 993,000.00 |
| Apr 30, 2022 | 994,000.00 |
| Jan 31, 2022 | 993,000.00 |
| Oct 31, 2021 | 993,000.00 |
API Access
MongoDB Depreciation and Depletion 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=depreciation-and-depletion&ticker=MDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();