Snowflake (SNOW) Cash & Equivalents (2019 - 2026)
Snowflake's Cash & Equivalents came in at $1.71 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 9.2% from $1.88 billion a year earlier and down 18.1% from the prior quarter.
Snowflake (SNOW) Cash & Equivalents (2019 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Snowflake's Cash & Equivalents was $2.83 billion, up 7.6% from FY2025.
- Cash & Equivalents has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 28.1% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $2.63 billion in FY2025 (+49.1%), $1.76 billion in FY2024 (+87.5%), $939.9 million in FY2023 (-13.4%) and $1.09 billion in FY2022 (+32.4%).
- The fiscal Q2 2027 figure represents the lowest quarterly Cash & Equivalents since fiscal Q2 2025.
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 33.1%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q3 2025 (growth of 118.8%), and the weakest in fiscal Q3 2022 (a decline of 76.3%).
- Business Quant data shows SNOW's Cash & Equivalents at $2.08 billion (Q1 2027), $2.83 billion (Q4 2026) and $1.94 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 597.70 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 1.00 Bn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 763.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 928.35 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 3.61 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.71 Bn |
| Apr 30, 2026 | 2.08 Bn |
| Jan 31, 2026 | 2.83 Bn |
| Oct 31, 2025 | 1.94 Bn |
| Jul 31, 2025 | 1.88 Bn |
| Apr 30, 2025 | 2.24 Bn |
| Jan 31, 2025 | 2.63 Bn |
| Oct 31, 2024 | 2.15 Bn |
| Jul 31, 2024 | 1.28 Bn |
| Apr 30, 2024 | 1.33 Bn |
| Jan 31, 2024 | 1.76 Bn |
| Oct 31, 2023 | 982.18 Mn |
| Jul 31, 2023 | 755.19 Mn |
| Apr 30, 2023 | 653.01 Mn |
| Jan 31, 2023 | 939.90 Mn |
| Oct 31, 2022 | 819.00 Mn |
| Jul 31, 2022 | 906.66 Mn |
| Apr 30, 2022 | 1.06 Bn |
| Jan 31, 2022 | 1.09 Bn |
| Oct 31, 2021 | 935.22 Mn |
Snowflake Cash & Equivalents 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=cash-and-equivalents&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();