Snowflake (SNOW) Total Current Liabilities (2020 - 2026)
Snowflake's (SNOW) quarterly Total Current Liabilities came in at $3.7 billion in Q3 2026, up 20.2% year-over-year from $3.1 billion in Q3 2025, and down 1.48% quarter-over-quarter from $3.8 billion in Q2 2026.
Snowflake (SNOW) Total Current Liabilities (2020 - 2026) Analysis & Trends
Snowflake has disclosed Total Current Liabilities across 7 years of filings, most recently posting $3.7 billion for Q3 2026.
- In Q3 2026, Total Current Liabilities rose 20.2% year-over-year to $3.7 billion; the TTM figure through Jul 2026 stood at $3.7 billion (up 20.2% YoY), while the FY2026 annual figure was $4.4 billion, up 33.94% from the prior year.
- Total Current Liabilities came in at $3.7 billion for Q3 2026 at Snowflake, down from $3.8 billion in the prior quarter.
- In the past five years, Total Current Liabilities ranged from a high of $4.4 billion in Q1 2026 to a low of $1.4 billion in Q2 2022.
- Average Total Current Liabilities over 5 years is $2.6 billion, with a median of $2.5 billion recorded in 2024.
- Year-over-year, Total Current Liabilities surged 77.01% in 2022 and increased 20.2% in 2026.
- Over 5 years, Total Current Liabilities stood at $1.5 billion in 2022, then surged by 37.43% to $2.0 billion in 2023, then soared by 30.24% to $2.6 billion in 2024, then rose by 27.8% to $3.4 billion in 2025, then grew by 10.0% to $3.7 billion in 2026.
- Per Business Quant data, the three most recent Total Current Liabilities figures were $3.7 billion in Q3 2026, $3.8 billion in Q2 2026, and $4.4 billion in Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 320.54 Bn | 317.47 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 268.77 Bn | 263.80 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 131.12 Bn | 127.05 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 118.02 Bn | 115.67 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 90.27 Bn | 85.29 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 36.61 Bn | 35.93 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Zscaler | 34.97 Bn | 31.49 Bn | - | 2.96 Bn |
| 8 | MongoDB | 34.51 Bn | 32.10 Bn | 569.77 Mn | 642.37 Mn |
| 9 | Okta | 34.32 Bn | 32.02 Bn | 641.00 Mn | 2.03 Bn |
| 10 | Baidu | 30.55 Bn | 8.15 Bn | 1.76 Mn | 13.13 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.72 Bn |
| Apr 30, 2026 | 3.78 Bn |
| Jan 31, 2026 | 4.42 Bn |
| Oct 31, 2025 | 3.38 Bn |
| Jul 31, 2025 | 3.10 Bn |
| Apr 30, 2025 | 3.03 Bn |
| Jan 31, 2025 | 3.30 Bn |
| Oct 31, 2024 | 2.65 Bn |
| Jul 31, 2024 | 2.46 Bn |
| Apr 30, 2024 | 2.43 Bn |
| Jan 31, 2024 | 2.73 Bn |
| Oct 31, 2023 | 2.03 Bn |
| Jul 31, 2023 | 1.91 Bn |
| Apr 30, 2023 | 1.89 Bn |
| Jan 31, 2023 | 1.99 Bn |
| Oct 31, 2022 | 1.48 Bn |
| Jul 31, 2022 | 1.40 Bn |
| Apr 30, 2022 | 1.36 Bn |
| Jan 31, 2022 | 1.40 Bn |
| Oct 31, 2021 | 958.74 Mn |
Snowflake Total Current Liabilities 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=total-current-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SNOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();