Snowflake (SNOW) Enterprise Value (2020 - 2026)
Snowflake's (SNOW) quarterly Enterprise Value came in at $101.0 billion in Q3 2026, up 39.99% year-over-year from $72.1 billion in Q3 2025, and up 127.73% quarter-over-quarter from $44.3 billion in Q2 2026.
Snowflake (SNOW) Enterprise Value (2020 - 2026) Analysis & Trends
Snowflake has disclosed Enterprise Value across 7 years of filings, most recently posting $101.0 billion for Q3 2026.
- In Q3 2026, Enterprise Value rose 39.99% year-over-year to $101.0 billion; the TTM figure through Jul 2026 stood at $101.0 billion (up 39.99% YoY), while the FY2026 annual figure was $62.2 billion, up 11.13% from the prior year.
- Enterprise Value came in at $101.0 billion for Q3 2026 at Snowflake, up from $44.3 billion in the prior quarter.
- In the past five years, Enterprise Value ranged from a high of $101.0 billion in Q3 2026 to a low of $33.8 billion in Q4 2024.
- Average Enterprise Value over 5 years is $56.6 billion, with a median of $49.3 billion recorded in 2025.
- Year-over-year, Enterprise Value plunged 54.42% in 2022 and jumped 168.77% in 2025.
- Over 5 years, Enterprise Value stood at $47.6 billion in 2022, then slipped by 7.07% to $44.3 billion in 2023, then dropped by 23.73% to $33.8 billion in 2024, then soared by 168.77% to $90.7 billion in 2025, then advanced by 11.33% to $101.0 billion in 2026.
- Per Business Quant data, the three most recent Enterprise Value figures were $101.0 billion in Q3 2026, $44.3 billion in Q2 2026, and $62.2 billion in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 101.02 Bn |
| Apr 30, 2026 | 44.35 Bn |
| Jan 31, 2026 | 62.24 Bn |
| Oct 31, 2025 | 90.71 Bn |
| Jul 31, 2025 | 72.14 Bn |
| Apr 30, 2025 | 49.32 Bn |
| Jan 31, 2025 | 56.01 Bn |
| Oct 31, 2024 | 33.75 Bn |
| Jul 31, 2024 | 40.48 Bn |
| Apr 30, 2024 | 48.44 Bn |
| Jan 31, 2024 | 61.55 Bn |
| Oct 31, 2023 | 44.25 Bn |
| Jul 31, 2023 | 54.85 Bn |
| Apr 30, 2023 | 44.33 Bn |
| Jan 31, 2023 | 46.85 Bn |
| Oct 31, 2022 | 47.62 Bn |
| Jul 31, 2022 | 44.02 Bn |
| Apr 30, 2022 | 50.72 Bn |
| Jan 31, 2022 | 82.95 Bn |
| Oct 31, 2021 | 104.49 Bn |
Snowflake Enterprise Value 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=enterprise-value&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();