Snowflake (SNOW) Receivables - Net (2020 - 2026)
Snowflake (SNOW) recorded Receivables - Net of $718.46 million in 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.
Snowflake (SNOW) Receivables - Net (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Snowflake reported Receivables - Net of $1.3 billion, up 41.3% from FY2025.
- Annual Receivables - Net has a five-year compound annual growth rate of 34.7% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables - Net came in at $922.81 million in FY2025 (-0.4%), $926.9 million in FY2024 (+29.5%), $715.82 million in FY2023 (+31.2%) and $545.63 million in FY2022 (+85.6%).
- Quarterly Receivables - Net has ranged from $254.24 million in fiscal Q3 2022 to $1.3 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Receivables - Net has increased for six consecutive quarters, with growth averaging 29.8% over the last eight quarters.
- Peak year-over-year performance for Receivables - Net in the last five years was growth of 85.6% in fiscal Q4 2022, against a decline of 2.1% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $579.72 million (Q1 2027), $1.3 billion (Q4 2026) and $938.15 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 255.53 Bn | 240.60 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 230.03 Bn | 210.43 Bn | 1.10 Bn |
| 3 | Fortinet | 123.13 Bn | 109.06 Bn | 1.64 Bn |
| 4 | Snowflake | 107.35 Bn | 94.67 Bn | 1.04 Bn |
| 5 | Datadog | 87.69 Bn | 69.33 Bn | 881.34 Mn |
| 6 | Zscaler | 32.63 Bn | 18.74 Bn | - |
| 7 | Okta | 32.61 Bn | 22.70 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 32.22 Bn | 26.75 Bn | 546.45 Mn |
| 9 | MongoDB | 26.93 Bn | 17.40 Bn | 569.77 Mn |
| 10 | F5 | 24.99 Bn | 19.40 Bn | 711.51 Mn |
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 | 926.90 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 |
Snowflake Receivables - 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=receivables-net&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-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=receivables-net&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();