Elastic (ESTC) Capital Expenditures (2018 - 2026)
Elastic (ESTC) reported Capital Expenditures of $590,000 for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 10.1% from $656,000 a year earlier and down 79.6% from the prior quarter.
Elastic (ESTC) Capital Expenditures (2018 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Elastic's Capital Expenditures came in at $5.03 million, up 18.1% year-over-year; for FY2026 (ended Apr 30, 2026), it was $5.09 million, up 17.2% from FY2025.
- Capital Expenditures has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 5.4% (FY2021 to FY2026).
- By fiscal year, Capital Expenditures came in at $4.35 million in FY2025 (+25.9%), $3.45 million in FY2024 (+28.5%), $2.68 million in FY2023 (+8.0%) and $2.49 million in FY2022 (-36.5%).
- The fiscal Q1 2027 figure ranks as the lowest quarterly Capital Expenditures since fiscal Q3 2023.
- Year over year, Capital Expenditures gained in three of the last eight quarters, with growth averaging 15.3%.
- The high point for year-over-year Capital Expenditures in five years was fiscal Q3 2024 (growth of 446.7%); the low point was fiscal Q2 2022 (a decline of 92.9%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $2.9 million (Q4 2026), $936,000 (Q3 2026) and $605,000 (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 316.55 Bn | 301.63 Bn | 2.30 Bn | 103.00 Mn |
| 2 | CrowdStrike Holdings | 269.03 Bn | 249.47 Bn | 1.10 Bn | 124.41 Mn |
| 3 | Fortinet | 129.08 Bn | 115.01 Bn | 1.64 Bn | 78.00 Mn |
| 4 | Snowflake | 116.42 Bn | 103.73 Bn | 1.04 Bn | 7.55 Mn |
| 5 | Datadog | 96.40 Bn | 78.04 Bn | 881.34 Mn | 9.89 Mn |
| 6 | Okta | 34.24 Bn | 24.34 Bn | 641.00 Mn | 1.00 Mn |
| 7 | Axon Enterprise | 34.08 Bn | 28.61 Bn | 546.45 Mn | 21.05 Mn |
| 8 | Zscaler | 32.34 Bn | 18.46 Bn | - | - |
| 9 | Baidu | 29.50 Bn | -44.13 Bn | 1.47 Mn | -1.68 Bn |
| 10 | Elastic | 9.34 Bn | 3.87 Bn | 356.19 Mn | 590,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 590,000.00 |
| Apr 30, 2026 | 2.90 Mn |
| Jan 31, 2026 | 936,000.00 |
| Oct 31, 2025 | 605,000.00 |
| Jul 31, 2025 | 656,000.00 |
| Apr 30, 2025 | 2.12 Mn |
| Jan 31, 2025 | 766,000.00 |
| Oct 31, 2024 | 715,000.00 |
| Jul 31, 2024 | 747,000.00 |
| Apr 30, 2024 | 845,000.00 |
| Jan 31, 2024 | 1.08 Mn |
| Oct 31, 2023 | 896,000.00 |
| Jul 31, 2023 | 632,000.00 |
| Apr 30, 2023 | 1.67 Mn |
| Jan 31, 2023 | 197,000.00 |
| Oct 31, 2022 | 343,000.00 |
| Jul 31, 2022 | 479,000.00 |
| Apr 30, 2022 | 1.50 Mn |
| Jan 31, 2022 | 236,000.00 |
| Oct 31, 2021 | 91,000.00 |
Elastic Capital Expenditures 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=capital-expenditures&ticker=ESTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=ESTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();