Richardson Electronics (RELL) Buildings (2012 - 2026)
Richardson Electronics' Buildings came in at $28.64 million for fiscal Q4 2026 (quarter ended May 30, 2026), up 0.4% from $28.52 million a year earlier.
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Analysis
Richardson Electronics (RELL) Buildings (2012 - 2026) Analysis & Trends
Going back to fiscal Q4 2012, Richardson Electronics' Buildings data covers 13 quarters.
- Buildings has increased in each of the last six fiscal years, with a five-year compound annual growth rate of 4.6% (FY2021 to FY2026).
- Going back by fiscal year, Buildings was $28.52 million in FY2025 (+2.3%), $27.89 million in FY2024 (+15.2%), $24.21 million in FY2023 (+5.2%) and $23 million in FY2022 (+0.7%).
- The fiscal Q4 2026 figure represents the highest quarterly Buildings in data going back to fiscal Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 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 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 28.64 Mn |
| May 31, 2025 | 28.52 Mn |
| Jun 1, 2024 | 27.89 Mn |
| May 27, 2023 | 24.21 Mn |
| May 28, 2022 | 23.00 Mn |
| May 29, 2021 | 22.84 Mn |
| May 30, 2020 | 22.53 Mn |
| Jun 1, 2019 | 22.99 Mn |
| Jun 2, 2018 | 21.67 Mn |
| May 30, 2015 | 18.88 Mn |
| May 31, 2014 | 18.46 Mn |
| Jun 1, 2013 | 18.38 Mn |
| Jun 2, 2012 | 18.39 Mn |
API Access
Richardson Electronics Buildings 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=buildings&ticker=RELL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=RELL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();