Snowflake (SNOW) Change in Receivables (2020 - 2026)
Snowflake's Change in Receivables came in at $146.59 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 24.6% from $117.61 million a year earlier.
Snowflake (SNOW) Change in Receivables (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Snowflake reported Change in Receivables of $55.39 million, down 74.3% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $379.97 million.
- Change in Receivables carries a five-year compound annual growth rate of 26.7% (FY2021 to FY2026).
- Going back by fiscal year, Change in Receivables was -$536,000 in FY2025, $212.08 million in FY2024 (+27.0%), $166.97 million in FY2023 (-33.7%) and $251.65 million in FY2022 (+116.4%).
- The five-year range for quarterly Change in Receivables is -$747.22 million (fiscal Q1 2027) to $417.22 million (fiscal Q4 2024).
- Year-over-year, Change in Receivables increased in five of the last six quarters, with growth averaging 30.5%.
- The fastest year-over-year change in Change in Receivables over five years came in fiscal Q3 2023 (growth of 430.3%), and the weakest in fiscal Q2 2023 (a decline of 62.0%).
- Business Quant data shows SNOW's Change in Receivables at -$747.22 million (Q1 2027), $367.34 million (Q4 2026) and $288.68 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 277.52 Bn | 262.59 Bn | 2.30 Bn | 776.00 Mn |
| 2 | CrowdStrike Holdings | 249.50 Bn | 229.90 Bn | 1.10 Bn | 104.65 Mn |
| 3 | Fortinet | 133.40 Bn | 119.33 Bn | 1.64 Bn | -29.90 Mn |
| 4 | Snowflake | 117.12 Bn | 104.44 Bn | 1.04 Bn | 146.59 Mn |
| 5 | Datadog | 94.86 Bn | 76.51 Bn | 881.34 Mn | 151.65 Mn |
| 6 | Okta | 36.37 Bn | 26.46 Bn | 641.00 Mn | 83.00 Mn |
| 7 | Zscaler | 35.35 Bn | 21.47 Bn | - | - |
| 8 | Axon Enterprise | 33.67 Bn | 28.19 Bn | 546.45 Mn | 305.83 Mn |
| 9 | MongoDB | 29.54 Bn | 20.01 Bn | 569.77 Mn | 69.26 Mn |
| 10 | F5 | 25.93 Bn | 20.34 Bn | 711.51 Mn | 2.51 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 146.59 Mn |
| Apr 30, 2026 | -747.22 Mn |
| Jan 31, 2026 | 367.34 Mn |
| Oct 31, 2025 | 288.68 Mn |
| Jul 31, 2025 | 117.61 Mn |
| Apr 30, 2025 | -393.66 Mn |
| Jan 31, 2025 | 328.17 Mn |
| Oct 31, 2024 | 163.49 Mn |
| Jul 31, 2024 | 87.13 Mn |
| Apr 30, 2024 | -579.32 Mn |
| Jan 31, 2024 | 417.22 Mn |
| Oct 31, 2023 | 104.71 Mn |
| Jul 31, 2023 | 53.05 Mn |
| Apr 30, 2023 | -362.89 Mn |
| Jan 31, 2023 | 317.69 Mn |
| Oct 31, 2022 | 88.85 Mn |
| Jul 31, 2022 | 27.09 Mn |
| Apr 30, 2022 | -266.66 Mn |
| Jan 31, 2022 | 290.79 Mn |
| Oct 31, 2021 | 16.75 Mn |
Snowflake Change in 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=change-in-receivables&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-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=change-in-receivables&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();