Richardson Electronics (RELL) Inventory (2011 - 2026)
Richardson Electronics (RELL) recorded Inventory of $103.28 million in fiscal Q1 2027 (quarter ended Aug 29, 2026), down 1.3% from $104.64 million a year earlier but up 0.3% from the prior quarter.
Richardson Electronics (RELL) Inventory (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended May 30, 2026), Richardson Electronics reported Inventory of $103.02 million, up 0.2% from FY2025.
- Annual Inventory has a five-year compound annual growth rate of 10.2% (FY2021 to FY2026).
- Across earlier fiscal years, Inventory came in at $102.8 million in FY2025 (-6.7%), $110.15 million in FY2024 (-0.2%), $110.4 million in FY2023 (+37.3%) and $80.39 million in FY2022 (+26.6%).
- Quarterly Inventory has ranged from $70.74 million in fiscal Q2 2022 to $116.95 million in fiscal Q2 2024 over the past five years.
- On a year-over-year basis, Inventory rose in two of the last eight quarters, with an average decline of 3.4%.
- Peak year-over-year performance for Inventory in the last five years was growth of 37.7% in fiscal Q2 2023, against a decline of 12.7% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $103.02 million (Q4 2026), $107.62 million (Q3 2026) and $105.17 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 2.51 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 3.77 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 2.52 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Richardson Electronics | 279.04 Mn | 147.72 Mn | 22.49 Mn | 103.28 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 103.28 Mn |
| May 30, 2026 | 103.02 Mn |
| Feb 28, 2026 | 107.62 Mn |
| Nov 29, 2025 | 105.17 Mn |
| Aug 30, 2025 | 104.64 Mn |
| May 31, 2025 | 102.80 Mn |
| Mar 1, 2025 | 98.37 Mn |
| Nov 30, 2024 | 110.69 Mn |
| Aug 31, 2024 | 110.99 Mn |
| Jun 1, 2024 | 110.15 Mn |
| Mar 2, 2024 | 112.64 Mn |
| Dec 2, 2023 | 116.95 Mn |
| Sep 2, 2023 | 113.60 Mn |
| May 27, 2023 | 110.40 Mn |
| Feb 25, 2023 | 101.41 Mn |
| Nov 26, 2022 | 97.43 Mn |
| Aug 27, 2022 | 89.08 Mn |
| May 28, 2022 | 80.39 Mn |
| Feb 26, 2022 | 73.67 Mn |
| Nov 27, 2021 | 70.74 Mn |
Richardson Electronics Inventory 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=inventory&ticker=RELL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=RELL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();