Richardson Electronics (RELL) Operating Expenses (2010 - 2026)
Richardson Electronics (RELL) posted Operating Expenses of $17.64 million for fiscal Q4 2026 (quarter ended May 30, 2026), up 13.3% from $15.57 million a year earlier and up 9.0% from the prior quarter.
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Analysis
Richardson Electronics (RELL) Operating Expenses (2010 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Richardson Electronics' Operating Expenses came in at $65.72 million, up 5.7% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 3.3% (FY2021 to FY2026).
- In prior fiscal years, Richardson Electronics' Operating Expenses was $62.17 million in FY2025 (-2.2%), $63.55 million in FY2024 (+2.3%), $62.11 million in FY2023 (+5.4%) and $58.92 million in FY2022 (+5.4%).
- The fiscal Q4 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 5.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2026, with growth of 13.3%; the weakest was fiscal Q3 2022, with a decline of 9.8%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $16.18 million (Q3 2026), $15.94 million (Q2 2026) and $15.96 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Richardson Electronics | 215.38 Mn | 85.32 Mn | 20.66 Mn | 17.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 17.64 Mn |
| Feb 28, 2026 | 16.18 Mn |
| Nov 29, 2025 | 15.94 Mn |
| Aug 30, 2025 | 15.96 Mn |
| May 31, 2025 | 15.57 Mn |
| Mar 1, 2025 | 14.50 Mn |
| Nov 30, 2024 | 16.00 Mn |
| Aug 31, 2024 | 16.11 Mn |
| Jun 1, 2024 | 14.84 Mn |
| Mar 2, 2024 | 14.43 Mn |
| Dec 2, 2023 | 14.49 Mn |
| Sep 2, 2023 | 15.79 Mn |
| May 27, 2023 | 15.01 Mn |
| Feb 25, 2023 | 14.78 Mn |
| Nov 26, 2022 | 14.68 Mn |
| Aug 27, 2022 | 14.25 Mn |
| May 28, 2022 | 15.17 Mn |
| Feb 26, 2022 | 13.95 Mn |
| Nov 27, 2021 | 13.14 Mn |
| Aug 28, 2021 | 13.47 Mn |
API Access
Richardson 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=RELL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RELL", "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=RELL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();