Elastic (ESTC) Research & Development (2017 - 2026)
Elastic (ESTC) reported Research & Development of $112.49 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 3.1% from $109.12 million a year earlier but down 6.5% from the prior quarter.
Elastic (ESTC) Research & Development (2017 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Elastic's Research & Development came in at $455.3 million, up 18.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $451.93 million, up 23.6% from FY2025.
- Research & Development has increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 17.8% (FY2021 to FY2026).
- By fiscal year, Research & Development came in at $365.76 million in FY2025 (+7.0%), $341.95 million in FY2024 (+9.1%), $313.45 million in FY2023 (+14.5%) and $273.76 million in FY2022 (+37.4%).
- Five-year quarterly Research & Development spans a low of $63.76 million in fiscal Q2 2022 and a high of $120.26 million in fiscal Q4 2026.
- Year over year, Research & Development has now increased in each of the last 32 quarters, with growth averaging 14.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Research & Development ran from 0.8% in fiscal Q4 2025 to 42.3% in fiscal Q4 2022.
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $120.26 million (Q4 2026), $114.39 million (Q3 2026) and $108.15 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 779.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 444.20 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 225.00 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 567.48 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 477.97 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 208.69 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 163.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 679.00 Mn |
| 10 | Elastic | 9.24 Bn | 3.77 Bn | 356.19 Mn | 112.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 112.49 Mn |
| Apr 30, 2026 | 120.26 Mn |
| Jan 31, 2026 | 114.39 Mn |
| Oct 31, 2025 | 108.15 Mn |
| Jul 31, 2025 | 109.12 Mn |
| Apr 30, 2025 | 94.67 Mn |
| Jan 31, 2025 | 93.60 Mn |
| Oct 31, 2024 | 88.16 Mn |
| Jul 31, 2024 | 89.33 Mn |
| Apr 30, 2024 | 93.95 Mn |
| Jan 31, 2024 | 87.20 Mn |
| Oct 31, 2023 | 80.11 Mn |
| Jul 31, 2023 | 80.69 Mn |
| Apr 30, 2023 | 81.77 Mn |
| Jan 31, 2023 | 77.47 Mn |
| Oct 31, 2022 | 75.57 Mn |
| Jul 31, 2022 | 78.65 Mn |
| Apr 30, 2022 | 78.87 Mn |
| Jan 31, 2022 | 71.75 Mn |
| Oct 31, 2021 | 63.76 Mn |
Elastic Research & Development 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=research-and-development&ticker=ESTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=ESTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();