8X8 (EGHT) Cash & Equivalents (2009 - 2026)
8X8's Cash & Equivalents was $90.6 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 11.4% from $81.3 million a year earlier but down 2.9% from the prior quarter.
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Analysis
8X8 (EGHT) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Cash & Equivalents at 8X8 came in at $93.26 million, up 5.9% from FY2025.
- Cash & Equivalents shows a five-year compound annual growth rate of -3.7% (FY2021 to FY2026).
- In earlier fiscal years, Cash & Equivalents was $88.05 million in FY2025 (-24.3%), $116.3 million in FY2024 (+4.4%), $111.4 million in FY2023 (+22.1%) and $91.21 million in FY2022 (-19.0%).
- Quarterly Cash & Equivalents has moved between $75.87 million (fiscal Q2 2026) and $200.35 million (fiscal Q3 2022) over five years.
- Compared with a year earlier, Cash & Equivalents was higher in two of the last eight quarters, with an average decline of 19.2%.
- The best year-over-year quarter for Cash & Equivalents over five years was fiscal Q3 2022 (growth of 87.5%); the worst was fiscal Q3 2023 (a decline of 53.6%).
- Per Business Quant data, EGHT's Cash & Equivalents in the three fiscal quarters before Q1 2027 was $93.26 million (Q4 2026), $86.88 million (Q3 2026) and $75.87 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.55 Bn | 67.80 Bn | 6.00 Bn | 4.36 Bn |
| 2 | Autodesk | 54.36 Bn | 42.40 Bn | 1.87 Bn | 4.10 Bn |
| 3 | Atlassian | 37.46 Bn | 32.39 Bn | 1.51 Bn | 1.12 Bn |
| 4 | Twilio | 33.16 Bn | 22.79 Bn | 760.53 Mn | 1.06 Bn |
| 5 | Zoom Communications | 26.58 Bn | -4.16 Bn | 985.50 Mn | 931.99 Mn |
| 6 | Figma | 9.91 Bn | 3.23 Bn | 314.44 Mn | 508.03 Mn |
| 7 | Dropbox | 7.02 Bn | 2.44 Bn | 513.70 Mn | 1.10 Bn |
| 8 | RingCentral | 6.19 Bn | 5.72 Bn | 494.30 Mn | 110.12 Mn |
| 9 | Open Text | 5.93 Bn | 1.47 Bn | 905.53 Mn | 983.29 Mn |
| 10 | 8X8 | 316.52 Mn | -55.93 Mn | 114.56 Mn | 101.71 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 101.71 Mn |
| Jun 30, 2026 | 90.60 Mn |
| Mar 31, 2026 | 93.26 Mn |
| Dec 31, 2025 | 86.88 Mn |
| Sep 30, 2025 | 75.90 Mn |
| Jun 30, 2025 | 81.30 Mn |
| Mar 31, 2025 | 88.05 Mn |
| Dec 31, 2024 | 104.20 Mn |
| Sep 30, 2024 | 117.40 Mn |
| Jun 30, 2024 | 130.80 Mn |
| Mar 31, 2024 | 116.30 Mn |
| Dec 31, 2023 | 168.50 Mn |
| Sep 30, 2023 | 144.00 Mn |
| Jun 30, 2023 | 122.23 Mn |
| Mar 31, 2023 | 111.40 Mn |
| Dec 31, 2022 | 92.96 Mn |
| Sep 30, 2022 | 100.51 Mn |
| Jun 30, 2022 | 92.69 Mn |
| Mar 31, 2022 | 91.21 Mn |
| Dec 31, 2021 | 200.35 Mn |
API Access
8X8 Cash & Equivalents 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=cash-and-equivalents&ticker=EGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "EGHT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();