Elastic (ESTC) Total Current Liabilities (2018 - 2026)
Elastic's Total Current Liabilities was $1.04 billion in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 15.1% from $900.81 million a year earlier but down 13.9% from the prior quarter.
Elastic (ESTC) Total Current Liabilities (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Total Current Liabilities at Elastic came in at $1.2 billion, up 19.5% from FY2025.
- Total Current Liabilities has now increased for eight consecutive fiscal years, with a five-year compound annual growth rate of 21.8% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $1.01 billion in FY2025 (+15.7%), $871.09 million in FY2024 (+21.6%), $716.62 million in FY2023 (+20.8%) and $593.33 million in FY2022 (+31.8%).
- Quarterly Total Current Liabilities has moved between $480.39 million (fiscal Q2 2022) and $1.2 billion (fiscal Q4 2026) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for 28 straight quarters, with growth averaging 16.5% over the last eight quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 14.4% (fiscal Q1 2025) and 38.0% (fiscal Q2 2022) over the last five years.
- Per Business Quant data, ESTC's Total Current Liabilities in the three fiscal quarters before Q1 2027 was $1.2 billion (Q4 2026), $983.24 million (Q3 2026) and $927.04 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.40 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 2.03 Bn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Elastic | 9.24 Bn | 3.77 Bn | 356.19 Mn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1.04 Bn |
| Apr 30, 2026 | 1.20 Bn |
| Jan 31, 2026 | 983.24 Mn |
| Oct 31, 2025 | 927.04 Mn |
| Jul 31, 2025 | 900.81 Mn |
| Apr 30, 2025 | 1.01 Bn |
| Jan 31, 2025 | 837.03 Mn |
| Oct 31, 2024 | 790.73 Mn |
| Jul 31, 2024 | 768.22 Mn |
| Apr 30, 2024 | 871.09 Mn |
| Jan 31, 2024 | 728.27 Mn |
| Oct 31, 2023 | 687.23 Mn |
| Jul 31, 2023 | 671.73 Mn |
| Apr 30, 2023 | 716.62 Mn |
| Jan 31, 2023 | 617.11 Mn |
| Oct 31, 2022 | 586.97 Mn |
| Jul 31, 2022 | 560.32 Mn |
| Apr 30, 2022 | 593.33 Mn |
| Jan 31, 2022 | 491.35 Mn |
| Oct 31, 2021 | 480.39 Mn |
Elastic 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=ESTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "ESTC", "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=ESTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();