Kimball Electronics (KE) Operating Expenses (2013 - 2026)
Kimball Electronics (KE) reported Operating Expenses of $18.88 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 24.8% from $15.13 million a year earlier and up 17.5% from the prior quarter.
Kimball Electronics (KE) Operating Expenses (2013 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Kimball Electronics posted Operating Expenses of $66.13 million, up 8.0% from FY2025.
- Operating Expenses has a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $61.26 million in FY2025 (-11.2%), $69.01 million in FY2024 (+0.5%), $68.65 million in FY2023 (+28.5%) and $53.44 million in FY2022 (+1.4%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q1 2014.
- Year over year, Operating Expenses has now increased in each of the last three quarters, with an average decline of 1.4% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2023 (growth of 35.2%); the low point was fiscal Q3 2025 (a decline of 17.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $16.06 million (Q3 2026), $16.68 million (Q2 2026) and $14.51 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 14.83 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 2.07 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Kimball Electronics | 643.40 Mn | 318.46 Mn | 32.95 Mn | 18.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.88 Mn |
| Mar 31, 2026 | 16.06 Mn |
| Dec 31, 2025 | 16.68 Mn |
| Sep 30, 2025 | 14.51 Mn |
| Jun 30, 2025 | 15.13 Mn |
| Mar 31, 2025 | 15.18 Mn |
| Dec 31, 2024 | 15.20 Mn |
| Sep 30, 2024 | 15.75 Mn |
| Jun 30, 2024 | 16.65 Mn |
| Mar 31, 2024 | 18.48 Mn |
| Dec 31, 2023 | 17.82 Mn |
| Sep 30, 2023 | 16.05 Mn |
| Jun 30, 2023 | 18.44 Mn |
| Mar 31, 2023 | 17.75 Mn |
| Dec 31, 2022 | 16.70 Mn |
| Sep 30, 2022 | 15.75 Mn |
| Jun 30, 2022 | 13.64 Mn |
| Mar 31, 2022 | 13.67 Mn |
| Dec 31, 2021 | 13.92 Mn |
| Sep 30, 2021 | 12.20 Mn |
Kimball Electronics 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=KE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KE", "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=KE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();