Elastic (ESTC) Revenue (2017 - 2026)
Elastic (ESTC) reported Revenue of $478.11 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 15.1% from $415.29 million a year earlier and up 6.1% from the prior quarter.
Elastic (ESTC) Revenue (2017 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Elastic's Revenue came in at $1.8 billion, up 16.2% year-over-year; for FY2026 (ended Apr 30, 2026), it was $1.74 billion, up 17.3% from FY2025.
- Revenue has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 23.4% (FY2021 to FY2026).
- By fiscal year, Revenue came in at $1.48 billion in FY2025 (+17.0%), $1.27 billion in FY2024 (+18.6%), $1.07 billion in FY2023 (+24.0%) and $862.37 million in FY2022 (+41.7%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Revenue in data going back to fiscal Q2 2018.
- Year over year, Revenue has now increased in each of the last 32 quarters, with growth averaging 16.8% over the last eight quarters.
- The year-over-year growth in Revenue has ranged between 15.1% (fiscal Q1 2027) and 42.5% (fiscal Q3 2022) over the last five years.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $450.68 million (Q4 2026), $449.88 million (Q3 2026) and $423.48 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.41 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.47 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 2.05 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.55 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 1.12 Bn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 904.39 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 805.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.62 Bn |
| 10 | Elastic | 9.24 Bn | 3.77 Bn | 356.19 Mn | 478.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 478.11 Mn |
| Apr 30, 2026 | 450.68 Mn |
| Jan 31, 2026 | 449.88 Mn |
| Oct 31, 2025 | 423.48 Mn |
| Jul 31, 2025 | 415.29 Mn |
| Apr 30, 2025 | 388.43 Mn |
| Jan 31, 2025 | 382.08 Mn |
| Oct 31, 2024 | 365.36 Mn |
| Jul 31, 2024 | 347.42 Mn |
| Apr 30, 2024 | 335.00 Mn |
| Jan 31, 2024 | 327.96 Mn |
| Oct 31, 2023 | 310.61 Mn |
| Jul 31, 2023 | 293.75 Mn |
| Apr 30, 2023 | 279.94 Mn |
| Jan 31, 2023 | 274.57 Mn |
| Oct 31, 2022 | 264.40 Mn |
| Jul 31, 2022 | 250.08 Mn |
| Apr 30, 2022 | 239.36 Mn |
| Jan 31, 2022 | 223.94 Mn |
| Oct 31, 2021 | 205.98 Mn |
Elastic Revenue 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=revenue&ticker=ESTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=ESTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();