Snowflake (SNOW) Receivables (2020 - 2026)
Snowflake (SNOW) posted Receivables of $718.46 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 11.1% from $646.68 million a year earlier and up 23.9% from the prior quarter.
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Analysis
Snowflake (SNOW) Receivables (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Snowflake's Receivables came in at $1.3 billion, up 41.3% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 34.5% (FY2021 to FY2026).
- In prior fiscal years, Snowflake's Receivables was $922.81 million in FY2025 (-1.0%), $931.9 million in FY2024 (+30.2%), $715.82 million in FY2023 (+31.2%) and $545.63 million in FY2022 (+84.4%).
- Quarterly Receivables has run from a low of $254.24 million in fiscal Q3 2022 to a high of $1.3 billion in fiscal Q4 2026 over five years.
- On a year-over-year basis, Receivables has increased in each of the last six quarters, with growth averaging 29.8% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q4 2022, with growth of 84.4%; the weakest was fiscal Q1 2025, with a decline of 2.1%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $579.72 million (Q1 2027), $1.3 billion (Q4 2026) and $938.15 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 277.52 Bn | 262.59 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 249.50 Bn | 229.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 133.40 Bn | 119.33 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 117.12 Bn | 104.44 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 94.86 Bn | 76.51 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Okta | 36.37 Bn | 26.46 Bn | 641.00 Mn | 469.00 Mn |
| 7 | Zscaler | 35.35 Bn | 21.47 Bn | - | 1.15 Bn |
| 8 | Axon Enterprise | 33.67 Bn | 28.19 Bn | 546.45 Mn | 1.52 Bn |
| 9 | MongoDB | 29.54 Bn | 20.01 Bn | 569.77 Mn | 483.22 Mn |
| 10 | F5 | 25.93 Bn | 20.34 Bn | 711.51 Mn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 718.46 Mn |
| Apr 30, 2026 | 579.72 Mn |
| Jan 31, 2026 | 1.30 Bn |
| Oct 31, 2025 | 938.15 Mn |
| Jul 31, 2025 | 646.68 Mn |
| Apr 30, 2025 | 530.52 Mn |
| Jan 31, 2025 | 922.81 Mn |
| Oct 31, 2024 | 596.35 Mn |
| Jul 31, 2024 | 431.60 Mn |
| Apr 30, 2024 | 345.51 Mn |
| Jan 31, 2024 | 931.90 Mn |
| Oct 31, 2023 | 511.03 Mn |
| Jul 31, 2023 | 406.40 Mn |
| Apr 30, 2023 | 352.99 Mn |
| Jan 31, 2023 | 715.82 Mn |
| Oct 31, 2022 | 394.06 Mn |
| Jul 31, 2022 | 304.96 Mn |
| Apr 30, 2022 | 277.56 Mn |
| Jan 31, 2022 | 545.63 Mn |
| Oct 31, 2021 | 254.24 Mn |
API Access
Snowflake Receivables 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=receivables&ticker=SNOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();