MongoDB (MDB) Property, Plant & Equipment (Net) (2017 - 2026)
MongoDB (MDB) recorded Property, Plant & Equipment (Net) of $38.99 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 6.7% from $41.79 million a year earlier and down 4.7% from the prior quarter.
MongoDB (MDB) Property, Plant & Equipment (Net) (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), MongoDB reported Property, Plant & Equipment (Net) of $39.77 million, down 14.2% from FY2025.
- Annual Property, Plant & Equipment (Net) has declined for four straight fiscal years, with a five-year compound annual growth rate of -8.6% (FY2021 to FY2026).
- Across earlier fiscal years, Property, Plant & Equipment (Net) came in at $46.38 million in FY2025 (-12.6%), $53.04 million in FY2024 (-8.3%), $57.84 million in FY2023 (-7.6%) and $62.63 million in FY2022 (+0.4%).
- The fiscal Q2 2027 figure is the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q3 2018.
- On a year-over-year basis, Property, Plant & Equipment (Net) has declined for 16 consecutive quarters, with an average decline of 11.8% over the last eight quarters.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 3.0% in fiscal Q1 2023, against a decline of 14.2% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $40.9 million (Q1 2027), $39.77 million (Q4 2026) and $40.7 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 341.51 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 33.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 753.00 Mn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.20 Bn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | 38.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 38.99 Mn |
| Apr 30, 2026 | 40.90 Mn |
| Jan 31, 2026 | 39.77 Mn |
| Oct 31, 2025 | 40.70 Mn |
| Jul 31, 2025 | 41.79 Mn |
| Apr 30, 2025 | 43.72 Mn |
| Jan 31, 2025 | 46.38 Mn |
| Oct 31, 2024 | 47.35 Mn |
| Jul 31, 2024 | 48.39 Mn |
| Apr 30, 2024 | 50.21 Mn |
| Jan 31, 2024 | 53.04 Mn |
| Oct 31, 2023 | 54.89 Mn |
| Jul 31, 2023 | 53.87 Mn |
| Apr 30, 2023 | 55.21 Mn |
| Jan 31, 2023 | 57.84 Mn |
| Oct 31, 2022 | 59.49 Mn |
| Jul 31, 2022 | 61.60 Mn |
| Apr 30, 2022 | 62.76 Mn |
| Jan 31, 2022 | 62.63 Mn |
| Oct 31, 2021 | 61.80 Mn |
MongoDB Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();