FiEE (FIEE) Operating Expenses (2010 - 2026)
FiEE's Operating Expenses came in at $1.23 million for Q2 2026, up 92.8% from $637,974 a year earlier and up 15.2% from the prior quarter.
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Analysis
FiEE (FIEE) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, FiEE reported Operating Expenses of $5.09 million, up 242.7% year-over-year; for FY2025, it came in at $3.8 million, down 14.4% from FY2024.
- Operating Expenses has declined in each of the last three years, with a five-year compound annual growth rate of -27.1% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $4.44 million in FY2024 (-74.9%), $17.68 million in FY2023 (-34.5%), $26.97 million in FY2022 (+29.4%) and $20.85 million in FY2021 (+13.1%).
- The five-year range for quarterly Operating Expenses is -$147,656 (Q4 2024) to $7.04 million (Q3 2022).
- Year-over-year, Operating Expenses increased in four of the last six quarters, with growth averaging 53.1%.
- The fastest year-over-year change in Operating Expenses over five years came in Q1 2026 (growth of 188.2%), and the weakest in Q2 2024 (a decline of 91.8%).
- Business Quant data shows FIEE's Operating Expenses at $1.07 million (Q1 2026), $1.05 million (Q4 2025) and $1.75 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.44 Bn | 38.94 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 32.27 Bn | 25.44 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Wipro | 22.26 Bn | 16.96 Bn | 738.00 Mn | 2.23 Bn |
| 4 | Td Synnex | 19.89 Bn | 14.05 Bn | 1.43 Bn | 784.64 Mn |
| 5 | Cdw | 19.82 Bn | 17.81 Bn | 1.32 Bn | 891.20 Mn |
| 6 | Cgi | 17.68 Bn | 15.48 Bn | - | - |
| 7 | Arrow Electronics | 11.18 Bn | 10.13 Bn | 1.13 Bn | 747.88 Mn |
| 8 | Avnet | 7.57 Bn | 6.75 Bn | 865.03 Mn | 634.01 Mn |
| 9 | EPAM Systems | 6.99 Bn | 2.63 Bn | 429.57 Mn | 245.25 Mn |
| 10 | FiEE | 25.78 Mn | 6.78 Mn | 3.87 Mn | 1.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.23 Mn |
| Mar 31, 2026 | 1.07 Mn |
| Dec 31, 2025 | 1.05 Mn |
| Sep 30, 2025 | 1.75 Mn |
| Jun 30, 2025 | 637,974.00 |
| Mar 31, 2025 | 370,496.00 |
| Dec 31, 2024 | -147,656.00 |
| Sep 30, 2024 | 625,067.00 |
| Jun 30, 2024 | 488,486.00 |
| Mar 31, 2024 | 3.48 Mn |
| Dec 31, 2023 | 1.47 Mn |
| Sep 30, 2023 | 3.72 Mn |
| Jun 30, 2023 | 5.95 Mn |
| Mar 31, 2023 | 6.53 Mn |
| Dec 31, 2022 | 6.47 Mn |
| Sep 30, 2022 | 7.04 Mn |
| Jun 30, 2022 | 6.82 Mn |
| Mar 31, 2022 | 6.65 Mn |
| Dec 31, 2021 | 2.63 Mn |
| Sep 30, 2021 | 6.66 Mn |
API Access
FiEE 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=FIEE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FIEE", "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=FIEE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();