Elastic (ESTC) Receivables (2018 - 2026)
Elastic (ESTC) recorded Receivables of $240.43 million in fiscal Q1 2027 (quarter ended Jul 31, 2026), up 7.2% from $224.39 million a year earlier but down 48.6% from the prior quarter.
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Analysis
Elastic (ESTC) Receivables (2018 - 2026) Analysis & Trends
At the end of FY2026 (ended Apr 30, 2026), Elastic reported Receivables of $467.51 million, up 23.6% from FY2025.
- Annual Receivables has increased for eight straight fiscal years, with a five-year compound annual growth rate of 23.1% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $378.11 million in FY2025 (+16.2%), $325.51 million in FY2024 (+23.7%), $263.12 million in FY2023 (+17.2%) and $224.43 million in FY2022 (+35.5%).
- Quarterly Receivables has ranged from $153.52 million in fiscal Q3 2022 to $467.51 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Receivables has increased for 28 consecutive quarters, with growth averaging 15.2% over the last eight quarters.
- The year-over-year growth in Receivables has ranged between 1.8% (fiscal Q2 2026) and 52.0% (fiscal Q1 2023) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $467.51 million (Q4 2026), $360.6 million (Q3 2026) and $263.95 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 3.63 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.04 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 1.46 Bn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 718.46 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 975.55 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 1.52 Bn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 469.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | 1.15 Bn |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 2.09 Bn |
| 10 | Elastic | 9.24 Bn | 3.77 Bn | 356.19 Mn | 240.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 240.43 Mn |
| Apr 30, 2026 | 467.51 Mn |
| Jan 31, 2026 | 360.60 Mn |
| Oct 31, 2025 | 263.95 Mn |
| Jul 31, 2025 | 224.39 Mn |
| Apr 30, 2025 | 378.11 Mn |
| Jan 31, 2025 | 272.83 Mn |
| Oct 31, 2024 | 259.37 Mn |
| Jul 31, 2024 | 199.17 Mn |
| Apr 30, 2024 | 325.51 Mn |
| Jan 31, 2024 | 233.05 Mn |
| Oct 31, 2023 | 234.45 Mn |
| Jul 31, 2023 | 188.17 Mn |
| Apr 30, 2023 | 263.12 Mn |
| Jan 31, 2023 | 203.34 Mn |
| Oct 31, 2022 | 189.14 Mn |
| Jul 31, 2022 | 172.41 Mn |
| Apr 30, 2022 | 224.43 Mn |
| Jan 31, 2022 | 153.52 Mn |
| Oct 31, 2021 | 162.43 Mn |
API Access
Elastic 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=receivables&ticker=ESTC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=receivables&ticker=ESTC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();