Elastic (ESTC) Non Operating Interest Expenses (2020 - 2026)
Elastic (ESTC) reported Non Operating Interest Expenses of $6.28 million for fiscal Q1 2027 (quarter ended Jul 31, 2026), down 1.1% from $6.35 million a year earlier but up 0.6% from the prior quarter.
Elastic (ESTC) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Elastic's Non Operating Interest Expenses came in at $25.07 million, down 0.2% year-over-year; for FY2026 (ended Apr 30, 2026), it was $25.14 million, down 0.7% from FY2025.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 167.1% (FY2021 to FY2026).
- By fiscal year, Non Operating Interest Expenses came in at $25.31 million in FY2025 (-3.2%), $26.13 million in FY2024 (+3.9%), $25.16 million in FY2023 (+21.4%) and $20.72 million in FY2022.
- Five-year quarterly Non Operating Interest Expenses spans a low of $5.84 million in fiscal Q4 2025 and a high of $7.11 million in fiscal Q4 2024.
- Year over year, Non Operating Interest Expenses gained in three of the last eight quarters, with an average decline of 2.2%.
- The high point for year-over-year Non Operating Interest Expenses in five years was fiscal Q1 2023 (growth of 251.7%); the low point was fiscal Q4 2025 (a decline of 17.8%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $6.25 million (Q4 2026), $6.25 million (Q3 2026) and $6.29 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 6.05 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -90.00 Mn |
| 10 | Elastic | 9.64 Bn | 4.16 Bn | 356.19 Mn | 6.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.28 Mn |
| Apr 30, 2026 | 6.25 Mn |
| Jan 31, 2026 | 6.25 Mn |
| Oct 31, 2025 | 6.29 Mn |
| Jul 31, 2025 | 6.35 Mn |
| Apr 30, 2025 | 5.84 Mn |
| Jan 31, 2025 | 6.48 Mn |
| Oct 31, 2024 | 6.46 Mn |
| Jul 31, 2024 | 6.53 Mn |
| Apr 30, 2024 | 7.11 Mn |
| Jan 31, 2024 | 6.37 Mn |
| Oct 31, 2023 | 6.35 Mn |
| Jul 31, 2023 | 6.31 Mn |
| Apr 30, 2023 | 6.28 Mn |
| Jan 31, 2023 | 6.27 Mn |
| Oct 31, 2022 | 6.21 Mn |
| Jul 31, 2022 | 6.40 Mn |
| Apr 30, 2022 | 6.39 Mn |
| Jan 31, 2022 | 6.18 Mn |
| Oct 31, 2021 | 6.33 Mn |
Elastic Non Operating Interest 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=non-operating-interest-expenses&ticker=ESTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=ESTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();