8X8 (EGHT) Property, Plant & Equipment (Net) (2009 - 2026)
8X8's Property, Plant & Equipment (Net) was $44.55 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 7.1% from $47.97 million a year earlier and down 2.8% from the prior quarter.
8X8 (EGHT) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Property, Plant & Equipment (Net) at 8X8 came in at $45.82 million, down 4.4% from FY2025.
- Property, Plant & Equipment (Net) has now declined for six consecutive fiscal years, with a five-year compound annual growth rate of -13.2% (FY2021 to FY2026).
- In earlier fiscal years, Property, Plant & Equipment (Net) was $47.92 million in FY2025 (-9.9%), $53.18 million in FY2024 (-8.1%), $57.87 million in FY2023 (-26.8%) and $79.02 million in FY2022 (-15.1%).
- The fiscal Q1 2027 figure marks the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q4 2018.
- Compared with a year earlier, Property, Plant & Equipment (Net) has declined for 22 straight quarters, with an average decline of 7.0% over the last eight quarters.
- Over the past five years, the year-over-year decline in Property, Plant & Equipment (Net) ranged from 4.4% (fiscal Q4 2026) to 26.8% (fiscal Q4 2023).
- Per Business Quant data, EGHT's Property, Plant & Equipment (Net) in the three fiscal quarters before Q1 2027 was $45.82 million (Q4 2026), $46.94 million (Q3 2026) and $47.39 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.55 Bn | 67.80 Bn | 6.00 Bn | 1.87 Bn |
| 2 | Autodesk | 54.36 Bn | 42.40 Bn | 1.87 Bn | 124.00 Mn |
| 3 | Atlassian | 37.46 Bn | 32.39 Bn | 1.51 Bn | 79.37 Mn |
| 4 | Twilio | 33.16 Bn | 22.79 Bn | 760.53 Mn | 183.87 Mn |
| 5 | Zoom Communications | 26.58 Bn | -4.16 Bn | 985.50 Mn | 254.71 Mn |
| 6 | Figma | 9.91 Bn | 3.23 Bn | 314.44 Mn | 43.05 Mn |
| 7 | Dropbox | 7.02 Bn | 2.44 Bn | 513.70 Mn | 341.10 Mn |
| 8 | RingCentral | 6.19 Bn | 5.72 Bn | 494.30 Mn | 193.34 Mn |
| 9 | Open Text | 5.93 Bn | 1.47 Bn | 905.53 Mn | 524.13 Mn |
| 10 | 8X8 | 316.52 Mn | -55.93 Mn | 114.56 Mn | 42.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.96 Mn |
| Jun 30, 2026 | 44.55 Mn |
| Mar 31, 2026 | 45.82 Mn |
| Dec 31, 2025 | 46.94 Mn |
| Sep 30, 2025 | 47.39 Mn |
| Jun 30, 2025 | 47.97 Mn |
| Mar 31, 2025 | 47.92 Mn |
| Dec 31, 2024 | 49.23 Mn |
| Sep 30, 2024 | 50.36 Mn |
| Jun 30, 2024 | 51.40 Mn |
| Mar 31, 2024 | 53.18 Mn |
| Dec 31, 2023 | 55.66 Mn |
| Sep 30, 2023 | 53.51 Mn |
| Jun 30, 2023 | 54.54 Mn |
| Mar 31, 2023 | 57.87 Mn |
| Dec 31, 2022 | 60.92 Mn |
| Sep 30, 2022 | 68.72 Mn |
| Jun 30, 2022 | 73.88 Mn |
| Mar 31, 2022 | 79.02 Mn |
| Dec 31, 2021 | 81.61 Mn |
8X8 Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();