Kimball Electronics (KE) Total Liabilities (2014 - 2026)
Kimball Electronics' Total Liabilities was $506.94 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 0.1% from $507.43 million a year earlier and down 3.7% from the prior quarter.
Kimball Electronics (KE) Total Liabilities (2014 - 2026) Analysis & Trends
From fiscal Q4 2014 onward, Kimball Electronics has reported Total Liabilities for 49 quarters.
- Total Liabilities has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 6.4% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $507.43 million in FY2025 (-24.0%), $667.46 million in FY2024 (-9.3%), $735.73 million in FY2023 (+26.5%) and $581.8 million in FY2022 (+56.4%).
- Quarterly Total Liabilities has moved between $398.45 million (fiscal Q1 2022) and $765.76 million (fiscal Q3 2023) over five years.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2023 (growth of 63.0%); the worst was fiscal Q3 2025 (a decline of 27.1%).
- Per Business Quant data, KE's Total Liabilities in the three fiscal quarters before Q4 2026 was $526.66 million (Q3 2026), $504.31 million (Q2 2026) and $500.78 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,985.86 Bn | 4,733.35 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.35 Bn | 357.28 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 298.64 Bn | 254.39 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 228.75 Bn | 182.21 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 201.20 Bn | 189.73 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Sony | 150.03 Bn | 87.29 Bn | 6.53 Bn | 44.91 Bn |
| 7 | Seagate Technology Holdings | 147.94 Bn | 142.93 Bn | 1.90 Bn | 7.81 Bn |
| 8 | Western Digital | 125.63 Bn | 113.76 Bn | 2.03 Bn | 5.00 Bn |
| 9 | Hewlett Packard Enterprise | 75.47 Bn | 53.35 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Kimball Electronics | 645.36 Mn | 320.42 Mn | 32.95 Mn | 506.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 506.94 Mn |
| Mar 31, 2026 | 526.66 Mn |
| Dec 31, 2025 | 504.31 Mn |
| Sep 30, 2025 | 500.78 Mn |
| Jun 30, 2025 | 507.43 Mn |
| Mar 31, 2025 | 526.44 Mn |
| Dec 31, 2024 | 536.96 Mn |
| Sep 30, 2024 | 601.30 Mn |
| Jun 30, 2024 | 667.46 Mn |
| Mar 31, 2024 | 721.77 Mn |
| Dec 31, 2023 | 730.05 Mn |
| Sep 30, 2023 | 734.90 Mn |
| Jun 30, 2023 | 735.73 Mn |
| Mar 31, 2023 | 765.76 Mn |
| Dec 31, 2022 | 714.17 Mn |
| Sep 30, 2022 | 645.52 Mn |
| Jun 30, 2022 | 581.80 Mn |
| Mar 31, 2022 | 499.69 Mn |
| Dec 31, 2021 | 438.06 Mn |
| Sep 30, 2021 | 398.45 Mn |
Kimball 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=KE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "KE", "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=KE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();