Elastic (ESTC) Goodwill & Intangibles (2017 - 2026)
Elastic (ESTC) posted Goodwill & Intangibles of $367.02 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), up 8.0% from $339.91 million a year earlier but down 0.7% from the prior quarter.
Elastic (ESTC) Goodwill & Intangibles (2017 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Elastic's Goodwill & Intangibles came in at $369.5 million, up 11.7% from FY2025.
- Annual Goodwill & Intangibles shows a five-year compound annual growth rate of 9.5% (FY2021 to FY2026).
- In prior fiscal years, Elastic's Goodwill & Intangibles was $330.82 million in FY2025 (-2.7%), $340 million in FY2024 (+2.2%), $332.75 million in FY2023 (-4.8%) and $349.71 million in FY2022 (+48.7%).
- Quarterly Goodwill & Intangibles has run from a low of $324.5 million in fiscal Q2 2024 to a high of $377.88 million in fiscal Q2 2026 over five years.
- On a year-over-year basis, Goodwill & Intangibles has increased in each of the last five quarters, with growth averaging 5.4% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was fiscal Q1 2023, with growth of 49.2%; the weakest was fiscal Q2 2024, with a decline of 4.9%.
- According to Business Quant data, Goodwill & Intangibles for the three prior fiscal quarters was $369.5 million (Q4 2026), $374.08 million (Q3 2026) and $377.88 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 235.00 Bn | 220.07 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 221.18 Bn | 201.58 Bn | 1.10 Bn |
| 3 | Snowflake | 96.49 Bn | 83.81 Bn | 1.04 Bn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn |
| 5 | Datadog | 64.27 Bn | 44.82 Bn | 959.92 Mn |
| 6 | Zscaler | 31.67 Bn | 17.82 Bn | 689.22 Mn |
| 7 | Okta | 29.42 Bn | 19.51 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 25.30 Bn | 19.82 Bn | 546.45 Mn |
| 9 | MongoDB | 25.20 Bn | 15.67 Bn | 569.77 Mn |
| 10 | Elastic | 8.99 Bn | 3.52 Bn | 356.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 367.02 Mn |
| Apr 30, 2026 | 369.50 Mn |
| Jan 31, 2026 | 374.08 Mn |
| Oct 31, 2025 | 377.88 Mn |
| Jul 31, 2025 | 339.91 Mn |
| Apr 30, 2025 | 330.82 Mn |
| Jan 31, 2025 | 332.35 Mn |
| Oct 31, 2024 | 333.92 Mn |
| Jul 31, 2024 | 336.76 Mn |
| Apr 30, 2024 | 340.00 Mn |
| Jan 31, 2024 | 343.37 Mn |
| Oct 31, 2023 | 324.50 Mn |
| Jul 31, 2023 | 328.73 Mn |
| Apr 30, 2023 | 332.75 Mn |
| Jan 31, 2023 | 337.03 Mn |
| Oct 31, 2022 | 341.13 Mn |
| Jul 31, 2022 | 345.25 Mn |
| Apr 30, 2022 | 349.71 Mn |
| Jan 31, 2022 | 354.10 Mn |
| Oct 31, 2021 | 340.41 Mn |
Elastic Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=ESTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=ESTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();