Richardson Electronics (RELL) Total Liabilities (2011 - 2026)
Richardson Electronics' Total Liabilities was $38.32 million in fiscal Q4 2026 (quarter ended May 30, 2026), down 2.2% from $39.18 million a year earlier and down 3.4% from the prior quarter.
Richardson Electronics (RELL) Total Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Richardson Electronics has reported Total Liabilities for 59 quarters.
- Total Liabilities shows a five-year compound annual growth rate of 1.7% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $39.18 million in FY2025 (+13.6%), $34.49 million in FY2024 (-10.9%), $38.73 million in FY2023 (-11.9%) and $43.97 million in FY2022 (+24.9%).
- The fiscal Q4 2026 figure marks the lowest quarterly Total Liabilities since fiscal Q3 2025.
- Compared with a year earlier, Total Liabilities was higher in seven of the last eight quarters, with growth averaging 6.7%.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2023 (growth of 25.0%); the worst was fiscal Q1 2024 (a decline of 25.1%).
- Per Business Quant data, RELL's Total Liabilities in the three fiscal quarters before Q4 2026 was $39.65 million (Q3 2026), $43.29 million (Q2 2026) and $40.7 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Richardson Electronics | 215.38 Mn | 85.32 Mn | 20.66 Mn | 38.32 Mn |
Historic Data
| Date | Value |
|---|---|
| May 30, 2026 | 38.32 Mn |
| Feb 28, 2026 | 39.65 Mn |
| Nov 29, 2025 | 43.29 Mn |
| Aug 30, 2025 | 40.70 Mn |
| May 31, 2025 | 39.18 Mn |
| Mar 1, 2025 | 36.91 Mn |
| Nov 30, 2024 | 39.03 Mn |
| Aug 31, 2024 | 38.80 Mn |
| Jun 1, 2024 | 34.49 Mn |
| Mar 2, 2024 | 34.98 Mn |
| Dec 2, 2023 | 37.85 Mn |
| Sep 2, 2023 | 35.16 Mn |
| May 27, 2023 | 38.73 Mn |
| Feb 25, 2023 | 44.26 Mn |
| Nov 26, 2022 | 45.01 Mn |
| Aug 27, 2022 | 46.92 Mn |
| May 28, 2022 | 43.97 Mn |
| Feb 26, 2022 | 41.08 Mn |
| Nov 27, 2021 | 39.44 Mn |
| Aug 28, 2021 | 37.53 Mn |
Richardson Electronics Total Liabilities 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=total-liabilities&ticker=RELL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=RELL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();