Elastic (ESTC) Other Operating Expenses (2017 - 2026)
Elastic's Other Operating Expenses was $199 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 14.3% from $174.05 million a year earlier and up 7.1% from the prior quarter.
Elastic (ESTC) Other Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Elastic's Other Operating Expenses was $735.13 million through Jul 31, 2026, up 16.0% year-over-year; for FY2026 (ended Apr 30, 2026), it came in at $710.19 million, up 15.1% from FY2025.
- Other Operating Expenses has now increased for nine consecutive fiscal years, with a five-year compound annual growth rate of 21.0% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $617.18 million in FY2025 (+10.3%), $559.65 million in FY2024 (+11.1%), $503.54 million in FY2023 (+23.8%) and $406.66 million in FY2022 (+48.5%).
- The fiscal Q1 2027 figure marks the highest quarterly Other Operating Expenses in data going back to fiscal Q2 2018.
- Compared with a year earlier, Other Operating Expenses has increased for 32 straight quarters, with growth averaging 12.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Other Operating Expenses ranged from 3.9% (fiscal Q2 2024) to 47.8% (fiscal Q3 2022).
- Per Business Quant data, ESTC's Other Operating Expenses in the three fiscal quarters before Q1 2027 was $185.76 million (Q4 2026), $176.8 million (Q3 2026) and $173.58 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Elastic | 9.64 Bn | 4.16 Bn | 356.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 199.00 Mn |
| Apr 30, 2026 | 185.76 Mn |
| Jan 31, 2026 | 176.80 Mn |
| Oct 31, 2025 | 173.58 Mn |
| Jul 31, 2025 | 174.05 Mn |
| Apr 30, 2025 | 161.80 Mn |
| Jan 31, 2025 | 153.75 Mn |
| Oct 31, 2024 | 144.27 Mn |
| Jul 31, 2024 | 157.36 Mn |
| Apr 30, 2024 | 151.63 Mn |
| Jan 31, 2024 | 141.62 Mn |
| Oct 31, 2023 | 133.23 Mn |
| Jul 31, 2023 | 133.17 Mn |
| Apr 30, 2023 | 123.64 Mn |
| Jan 31, 2023 | 126.72 Mn |
| Oct 31, 2022 | 128.18 Mn |
| Jul 31, 2022 | 125.01 Mn |
| Apr 30, 2022 | 118.60 Mn |
| Jan 31, 2022 | 105.07 Mn |
| Oct 31, 2021 | 94.95 Mn |
Elastic Other Operating Expenses 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=other-operating-expenses&ticker=ESTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=ESTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();