Elastic (ESTC) Cash & Equivalents (2018 - 2026)
Elastic's Cash & Equivalents came in at $879.87 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 32.8% from $662.34 million a year earlier and up 14.5% from the prior quarter.
Elastic (ESTC) Cash & Equivalents (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Elastic's Cash & Equivalents was $768.73 million, up 5.7% from FY2025.
- Cash & Equivalents carries a five-year compound annual growth rate of 13.9% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $727.54 million in FY2025 (+34.6%), $540.4 million in FY2024 (-16.1%), $644.17 million in FY2023 (-25.2%) and $860.95 million in FY2022 (+114.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Cash & Equivalents since fiscal Q1 2022.
- Year-over-year, Cash & Equivalents has increased for eight consecutive quarters, with growth averaging 19.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2022 (growth of 151.0%), and the weakest in fiscal Q3 2024 (a decline of 40.0%).
- Business Quant data shows ESTC's Cash & Equivalents at $768.73 million (Q4 2026), $737.24 million (Q3 2026) and $800.59 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 322.94 Bn | 308.02 Bn | 2.30 Bn | 2.51 Bn |
| 2 | CrowdStrike Holdings | 272.46 Bn | 252.90 Bn | 1.10 Bn | 5.01 Bn |
| 3 | Fortinet | 131.11 Bn | 117.04 Bn | 1.64 Bn | 2.93 Bn |
| 4 | Snowflake | 120.49 Bn | 107.81 Bn | 1.04 Bn | 1.71 Bn |
| 5 | Datadog | 99.24 Bn | 80.88 Bn | 881.34 Mn | 434.96 Mn |
| 6 | Okta | 35.54 Bn | 25.63 Bn | 641.00 Mn | 763.00 Mn |
| 7 | Axon Enterprise | 34.30 Bn | 28.82 Bn | 546.45 Mn | 597.70 Mn |
| 8 | Zscaler | 32.41 Bn | 18.53 Bn | - | 928.35 Mn |
| 9 | Baidu | 29.12 Bn | -44.51 Bn | 1.47 Mn | 3.61 Bn |
| 10 | Elastic | 9.70 Bn | 4.22 Bn | 356.19 Mn | 879.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 879.87 Mn |
| Apr 30, 2026 | 768.73 Mn |
| Jan 31, 2026 | 737.24 Mn |
| Oct 31, 2025 | 800.59 Mn |
| Jul 31, 2025 | 662.34 Mn |
| Apr 30, 2025 | 727.54 Mn |
| Jan 31, 2025 | 584.01 Mn |
| Oct 31, 2024 | 658.51 Mn |
| Jul 31, 2024 | 594.87 Mn |
| Apr 30, 2024 | 540.40 Mn |
| Jan 31, 2024 | 526.89 Mn |
| Oct 31, 2023 | 589.69 Mn |
| Jul 31, 2023 | 630.57 Mn |
| Apr 30, 2023 | 644.17 Mn |
| Jan 31, 2023 | 877.68 Mn |
| Oct 31, 2022 | 856.24 Mn |
| Jul 31, 2022 | 848.76 Mn |
| Apr 30, 2022 | 860.95 Mn |
| Jan 31, 2022 | 864.36 Mn |
| Oct 31, 2021 | 876.06 Mn |
Elastic Cash & Equivalents 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=cash-and-equivalents&ticker=ESTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=ESTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();