Snowflake (SNOW) Accounts Payables (2020 - 2026)
Snowflake (SNOW) recorded Accounts Payables of $185.25 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 11.1% from $166.79 million a year earlier and up 236.4% from the prior quarter.
Snowflake (SNOW) Accounts Payables (2020 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Snowflake reported Accounts Payables of $145.56 million, down 14.3% from FY2025.
- Annual Accounts Payables has a five-year compound annual growth rate of 91.5% (FY2021 to FY2026).
- Across earlier fiscal years, Accounts Payables came in at $169.77 million in FY2025 (+228.2%), $51.72 million in FY2024 (+118.5%), $23.67 million in FY2023 (+76.1%) and $13.44 million in FY2022 (+138.0%).
- Quarterly Accounts Payables has ranged from $10.56 million in fiscal Q3 2022 to $193.69 million in fiscal Q3 2026 over the past five years.
- On a year-over-year basis, Accounts Payables rose in six of the last eight quarters, with growth averaging 56.7%.
- Peak year-over-year performance for Accounts Payables in the last five years was growth of 321.9% in fiscal Q1 2023, against a decline of 64.5% in fiscal Q1 2027 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $55.06 million (Q1 2027), $145.56 million (Q4 2026) and $193.69 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Accounts Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 305.41 Bn | 290.49 Bn | 2.30 Bn | 290.00 Mn |
| 2 | CrowdStrike Holdings | 258.16 Bn | 238.60 Bn | 1.10 Bn | 114.49 Mn |
| 3 | Fortinet | 127.25 Bn | 113.18 Bn | 1.64 Bn | 282.50 Mn |
| 4 | Snowflake | 118.44 Bn | 105.76 Bn | 1.04 Bn | 185.25 Mn |
| 5 | Datadog | 96.25 Bn | 77.89 Bn | 881.34 Mn | 313.53 Mn |
| 6 | Axon Enterprise | 34.94 Bn | 29.46 Bn | 546.45 Mn | 269.96 Mn |
| 7 | MongoDB | 33.06 Bn | 23.53 Bn | 569.77 Mn | 17.69 Mn |
| 8 | Okta | 32.62 Bn | 22.72 Bn | 641.00 Mn | 10.00 Mn |
| 9 | Zscaler | 31.48 Bn | 17.60 Bn | - | 47.97 Mn |
| 10 | Baidu | 29.71 Bn | -43.91 Bn | 1.47 Mn | 5.90 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 185.25 Mn |
| Apr 30, 2026 | 55.06 Mn |
| Jan 31, 2026 | 145.56 Mn |
| Oct 31, 2025 | 193.69 Mn |
| Jul 31, 2025 | 166.79 Mn |
| Apr 30, 2025 | 155.26 Mn |
| Jan 31, 2025 | 169.77 Mn |
| Oct 31, 2024 | 148.92 Mn |
| Jul 31, 2024 | 134.54 Mn |
| Apr 30, 2024 | 64.24 Mn |
| Jan 31, 2024 | 51.72 Mn |
| Oct 31, 2023 | 75.46 Mn |
| Jul 31, 2023 | 41.25 Mn |
| Apr 30, 2023 | 22.22 Mn |
| Jan 31, 2023 | 23.67 Mn |
| Oct 31, 2022 | 24.76 Mn |
| Jul 31, 2022 | 20.29 Mn |
| Apr 30, 2022 | 18.44 Mn |
| Jan 31, 2022 | 13.44 Mn |
| Oct 31, 2021 | 10.56 Mn |
Snowflake Accounts Payables 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=accounts-payables&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accounts-payables", "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=accounts-payables&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();