Extreme Networks (EXTR) Tax Provisions (2010 - 2026)
Extreme Networks' Tax Provisions came in at $2.47 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 10.0% from $2.74 million a year earlier.
Extreme Networks (EXTR) Tax Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, Extreme Networks reported Tax Provisions of $9.07 million, down 30.2% year-over-year; for FY2026 (ended Jun 30, 2026), it came in at $9.36 million, down 20.3% from FY2025.
- Tax Provisions carries a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- Going back by fiscal year, Tax Provisions was $11.74 million in FY2025 (+38.7%), $8.47 million in FY2024 (-47.2%), $16.03 million in FY2023 (+102.3%) and $7.92 million in FY2022 (-4.0%).
- The five-year range for quarterly Tax Provisions is -$623,000 (fiscal Q3 2024) to $7.73 million (fiscal Q4 2023).
- Year-over-year, Tax Provisions increased in three of the last six quarters, with growth averaging 39.7%.
- The fastest year-over-year change in Tax Provisions over five years came in fiscal Q4 2023 (growth of 250.3%), and the weakest in fiscal Q4 2024 (a decline of 81.2%).
- Business Quant data shows EXTR's Tax Provisions at -$145,000 (Q4 2026), $4.22 million (Q3 2026) and $2.53 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,090.84 Bn | 4,836.31 Bn | 54.82 Bn | 5.42 Bn |
| 2 | Cisco Systems | 390.99 Bn | 326.92 Bn | 11.06 Bn | 1.07 Bn |
| 3 | Arista Networks | 240.45 Bn | 189.65 Bn | 2.33 Bn | 355.10 Mn |
| 4 | Dell Technologies | 219.04 Bn | 174.80 Bn | 9.83 Bn | 998.00 Mn |
| 5 | Sony | 158.27 Bn | 38.21 Bn | - | - |
| 6 | Sandisk | 129.40 Bn | 114.23 Bn | 9.38 Bn | 1.22 Bn |
| 7 | Seagate Technology Holdings | 114.31 Bn | 109.16 Bn | 2.43 Bn | 221.00 Mn |
| 8 | Western Digital | 105.81 Bn | 95.63 Bn | 2.53 Bn | 259.00 Mn |
| 9 | Hewlett Packard Enterprise | 63.81 Bn | 41.69 Bn | 4.93 Bn | 222.00 Mn |
| 10 | Extreme Networks | 3.39 Bn | 2.50 Bn | 211.94 Mn | 2.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.50 Mn |
| Jun 30, 2026 | -145,000.00 |
| Mar 31, 2026 | 4.22 Mn |
| Dec 31, 2025 | 2.53 Mn |
| Sep 30, 2025 | 2.74 Mn |
| Jun 30, 2025 | 3.94 Mn |
| Mar 31, 2025 | 3.71 Mn |
| Dec 31, 2024 | 2.60 Mn |
| Sep 30, 2024 | 1.50 Mn |
| Jun 30, 2024 | 1.46 Mn |
| Mar 31, 2024 | -623,000.00 |
| Dec 31, 2023 | 3.10 Mn |
| Sep 30, 2023 | 4.60 Mn |
| Jun 30, 2023 | 7.73 Mn |
| Mar 31, 2023 | 3.91 Mn |
| Dec 31, 2022 | 2.65 Mn |
| Sep 30, 2022 | 1.75 Mn |
| Jun 30, 2022 | 2.21 Mn |
| Mar 31, 2022 | 1.90 Mn |
| Dec 31, 2021 | 1.80 Mn |
Extreme Networks Tax Provisions 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=tax-provisions&ticker=EXTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "EXTR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=tax-provisions&ticker=EXTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();