Ispire Technology (ISPR) Operating Expenses (2022 - 2026)
Ispire Technology (ISPR) posted Operating Expenses of $15.22 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 11.1% from $17.12 million a year earlier but up 32.7% from the prior quarter.
Ispire Technology (ISPR) Operating Expenses (2022 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Ispire Technology's Operating Expenses came in at $44.89 million, down 25.8% from FY2025.
- Annual Operating Expenses shows a four-year compound annual growth rate of 33.1% (FY2022 to FY2026).
- In prior fiscal years, Ispire Technology's Operating Expenses was $60.5 million in FY2025 (+38.5%), $43.68 million in FY2024 (+73.0%), $25.25 million in FY2023 (+76.6%) and $14.29 million in FY2022.
- Quarterly Operating Expenses has run from a low of $3.87 million in fiscal Q3 2022 to a high of $17.12 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last four quarters, with growth averaging 7.7% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q2 2024, with growth of 110.7%; the weakest was fiscal Q1 2026, with a decline of 39.4%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $11.47 million (Q3 2026), $10.35 million (Q2 2026) and $7.84 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SharkNinja | 28.02 Bn | 25.69 Bn | 860.34 Mn | 680.96 Mn |
| 2 | Somnigroup International | 13.26 Bn | 12.80 Bn | 817.20 Mn | - |
| 3 | Hni | 3.26 Bn | 2.83 Bn | 647.20 Mn | 550.90 Mn |
| 4 | Newell Brands | 2.37 Bn | 1.52 Bn | 812.00 Mn | 529.00 Mn |
| 5 | Sonos | 2.08 Bn | 977.15 Mn | 189.31 Mn | 157.78 Mn |
| 6 | Whirlpool | 1.72 Bn | -1.75 Bn | 442.00 Mn | 412.00 Mn |
| 7 | Arhaus | 1.55 Bn | 631.38 Mn | 172.07 Mn | 117.81 Mn |
| 8 | Corsair Gaming | 1.48 Bn | 1.01 Bn | 104.29 Mn | 96.68 Mn |
| 9 | Millerknoll | 1.41 Bn | 705.96 Mn | 385.30 Mn | 333.50 Mn |
| 10 | Ispire Technology | 75.07 Mn | -2.52 Mn | 1.69 Mn | 15.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.22 Mn |
| Mar 31, 2026 | 11.47 Mn |
| Dec 31, 2025 | 10.35 Mn |
| Sep 30, 2025 | 7.84 Mn |
| Jun 30, 2025 | 17.12 Mn |
| Mar 31, 2025 | 15.36 Mn |
| Dec 31, 2024 | 15.08 Mn |
| Sep 30, 2024 | 12.94 Mn |
| Jun 30, 2024 | 14.00 Mn |
| Mar 31, 2024 | 11.78 Mn |
| Dec 31, 2023 | 10.17 Mn |
| Sep 30, 2023 | 7.72 Mn |
| Jun 30, 2023 | 7.38 Mn |
| Mar 31, 2023 | 7.21 Mn |
| Dec 31, 2022 | 4.83 Mn |
| Sep 30, 2022 | 6.01 Mn |
| Jun 30, 2022 | 4.90 Mn |
| Mar 31, 2022 | 3.87 Mn |
Ispire Technology Operating Expenses 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=operating-expenses&ticker=ISPR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ISPR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=ISPR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();