Richardson Electronics (RELL) Cost of Revenue (2010 - 2026)
Richardson Electronics (RELL) recorded Cost of Revenue of $45.54 million in fiscal Q4 2026 (quarter ended May 30, 2026), up 28.2% from $35.51 million a year earlier and up 20.5% from the prior quarter.
Richardson Electronics (RELL) Cost of Revenue (2010 - 2026) Analysis & Trends
For FY2026 (ended May 30, 2026), Richardson Electronics reported Cost of Revenue of $157.22 million, up 9.1% from FY2025.
- Annual Cost of Revenue has a five-year compound annual growth rate of 5.9% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $144.11 million in FY2025 (+5.6%), $136.49 million in FY2024 (-23.7%), $178.97 million in FY2023 (+17.0%) and $152.92 million in FY2022 (+29.5%).
- The fiscal Q4 2026 figure is the highest quarterly Cost of Revenue since fiscal Q3 2023.
- On a year-over-year basis, Cost of Revenue has increased for eight consecutive quarters, with growth averaging 7.5% over the last eight quarters.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 41.4% in fiscal Q1 2022, against a decline of 28.3% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $37.79 million (Q3 2026), $36.21 million (Q2 2026) and $37.68 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Richardson Electronics | 239.05 Mn | 108.98 Mn | 20.66 Mn | 45.54 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 45.54 Mn |
| Feb 28, 2026 | 37.79 Mn |
| Nov 29, 2025 | 36.21 Mn |
| Aug 30, 2025 | 37.68 Mn |
| May 31, 2025 | 35.51 Mn |
| Mar 1, 2025 | 37.13 Mn |
| Nov 30, 2024 | 34.17 Mn |
| Aug 31, 2024 | 37.30 Mn |
| Jun 1, 2024 | 32.65 Mn |
| Mar 2, 2024 | 36.94 Mn |
| Dec 2, 2023 | 31.59 Mn |
| Sep 2, 2023 | 35.32 Mn |
| May 27, 2023 | 42.43 Mn |
| Feb 25, 2023 | 47.96 Mn |
| Nov 26, 2022 | 44.05 Mn |
| Aug 27, 2022 | 44.53 Mn |
| May 28, 2022 | 41.45 Mn |
| Feb 26, 2022 | 37.74 Mn |
| Nov 27, 2021 | 36.32 Mn |
| Aug 28, 2021 | 37.41 Mn |
Richardson Electronics Cost of Revenue 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=cost-of-revenue&ticker=RELL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=RELL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();