Elastic (ESTC) Change in Receivables (2018 - 2026)
Elastic (ESTC) recorded Change in Receivables of -$227.03 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), compared with -$153.98 million a year earlier.
Elastic (ESTC) Change in Receivables (2018 - 2026) Analysis & Trends
On a TTM basis, Elastic's Change in Receivables came in at $13.8 million as of Jul 31, 2026, down 37.6% year-over-year; for FY2026 (ended Apr 30, 2026), it was $86.84 million, up 77.6% from FY2025.
- Annual Change in Receivables has a five-year compound annual growth rate of 29.3% (FY2021 to FY2026).
- Across earlier fiscal years, Change in Receivables came in at $48.9 million in FY2025 (-23.0%), $63.52 million in FY2024 (+37.0%), $46.35 million in FY2023 (-25.5%) and $62.19 million in FY2022 (+158.7%).
- The fiscal Q1 2027 figure is the lowest quarterly Change in Receivables in data going back to fiscal Q3 2018.
- On a year-over-year basis, Change in Receivables rose in four of the last five quarters, with growth averaging 94.5%.
- Peak year-over-year performance for Change in Receivables in the last five years was growth of 473.1% in fiscal Q3 2026, against a decline of 56.5% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $107.39 million (Q4 2026), $94.82 million (Q3 2026) and $38.62 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 776.00 Mn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 104.65 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | -29.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 146.59 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 151.65 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 83.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 305.83 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 | -227.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -227.03 Mn |
| Apr 30, 2026 | 107.39 Mn |
| Jan 31, 2026 | 94.82 Mn |
| Oct 31, 2025 | 38.62 Mn |
| Jul 31, 2025 | -153.98 Mn |
| Apr 30, 2025 | 100.44 Mn |
| Jan 31, 2025 | 16.54 Mn |
| Oct 31, 2024 | 59.12 Mn |
| Jul 31, 2024 | -127.20 Mn |
| Apr 30, 2024 | 94.56 Mn |
| Jan 31, 2024 | -4.07 Mn |
| Oct 31, 2023 | 48.90 Mn |
| Jul 31, 2023 | -75.87 Mn |
| Apr 30, 2023 | 60.40 Mn |
| Jan 31, 2023 | 11.14 Mn |
| Oct 31, 2022 | 20.80 Mn |
| Jul 31, 2022 | -45.99 Mn |
| Apr 30, 2022 | 71.99 Mn |
| Jan 31, 2022 | -9.28 Mn |
| Oct 31, 2021 | 47.81 Mn |
Elastic Change in Receivables 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=change-in-receivables&ticker=ESTC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=ESTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();