Snowflake (SNOW) Property, Plant & Equipment (Net) (2020 - 2026)
Snowflake (SNOW) reported Property, Plant & Equipment (Net) of $207.98 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 26.5% from $283.05 million a year earlier and down 8.5% from the prior quarter.
Snowflake (SNOW) Property, Plant & Equipment (Net) (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Snowflake posted Property, Plant & Equipment (Net) of $248.61 million, down 16.1% from FY2025.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 29.2% (FY2021 to FY2026).
- By fiscal year, Property, Plant & Equipment (Net) came in at $296.39 million in FY2025 (+19.8%), $247.46 million in FY2024 (+53.9%), $160.82 million in FY2023 (+53.0%) and $105.08 million in FY2022 (+52.4%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q2 2024.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last four quarters, with an average decline of 0.4% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was fiscal Q3 2022 (growth of 75.9%); the low point was fiscal Q2 2027 (a decline of 26.5%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $227.21 million (Q1 2027), $248.61 million (Q4 2026) and $265.84 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 523.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 1.17 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 1.70 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 207.98 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 409.63 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 341.51 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 38.99 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 33.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 753.00 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 4.20 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 207.98 Mn |
| Apr 30, 2026 | 227.21 Mn |
| Jan 31, 2026 | 248.61 Mn |
| Oct 31, 2025 | 265.84 Mn |
| Jul 31, 2025 | 283.05 Mn |
| Apr 30, 2025 | 290.33 Mn |
| Jan 31, 2025 | 296.39 Mn |
| Oct 31, 2024 | 278.37 Mn |
| Jul 31, 2024 | 264.78 Mn |
| Apr 30, 2024 | 263.67 Mn |
| Jan 31, 2024 | 247.46 Mn |
| Oct 31, 2023 | 216.38 Mn |
| Jul 31, 2023 | 193.82 Mn |
| Apr 30, 2023 | 176.43 Mn |
| Jan 31, 2023 | 160.82 Mn |
| Oct 31, 2022 | 145.97 Mn |
| Jul 31, 2022 | 130.08 Mn |
| Apr 30, 2022 | 118.61 Mn |
| Jan 31, 2022 | 105.08 Mn |
| Oct 31, 2021 | 94.38 Mn |
Snowflake 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=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "SNOW", "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=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();