Elastic (ESTC) Depreciation and Depletion (2017 - 2026)
Elastic's Depreciation and Depletion came in at $700,000 for fiscal Q1 2027 (quarter ended Jul 31, 2026), unchanged from $700,000 a year earlier and unchanged from the prior quarter.
Elastic (ESTC) Depreciation and Depletion (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Elastic reported Depreciation and Depletion of $2.9 million, unchanged year-over-year; for FY2026 (ended Apr 30, 2026), it was $3 million, down 3.2% from FY2025.
- Depreciation and Depletion has declined in each of the last four fiscal years, with a five-year compound annual growth rate of -0.7% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation and Depletion was $3.1 million in FY2025 (-11.4%), $3.5 million in FY2024 (-2.8%), $3.6 million in FY2023 (-7.7%) and $3.9 million in FY2022 (+25.8%).
- The five-year range for quarterly Depreciation and Depletion is $700,000 (fiscal Q4 2023) to $1 million (fiscal Q2 2023).
- Year-over-year, Depreciation and Depletion increased in 1 of the last eight quarters, with an average decline of 8.3%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q4 2024 (growth of 28.6%), and the weakest in fiscal Q4 2023 (a decline of 30.0%).
- Business Quant data shows ESTC's Depreciation and Depletion at $700,000 (Q4 2026), $800,000 (Q3 2026) and $700,000 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 26.40 Mn |
| 4 | Fortinet | 87.26 Bn | 71.51 Bn | 1.64 Bn | 30.50 Mn |
| 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 | 700,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 700,000.00 |
| Apr 30, 2026 | 700,000.00 |
| Jan 31, 2026 | 800,000.00 |
| Oct 31, 2025 | 700,000.00 |
| Jul 31, 2025 | 700,000.00 |
| Apr 30, 2025 | 800,000.00 |
| Jan 31, 2025 | 700,000.00 |
| Oct 31, 2024 | 700,000.00 |
| Jul 31, 2024 | 900,000.00 |
| Apr 30, 2024 | 900,000.00 |
| Jan 31, 2024 | 900,000.00 |
| Oct 31, 2023 | 800,000.00 |
| Jul 31, 2023 | 800,000.00 |
| Apr 30, 2023 | 700,000.00 |
| Jan 31, 2023 | 800,000.00 |
| Oct 31, 2022 | 1.00 Mn |
| Jul 31, 2022 | 1.00 Mn |
| Apr 30, 2022 | 1.00 Mn |
| Jan 31, 2022 | 1.00 Mn |
| Oct 31, 2021 | 1.00 Mn |
Elastic Depreciation and Depletion 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=depreciation-and-depletion&ticker=ESTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=ESTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();