Diodes (DIOD) Total Liabilities (2009 - 2026)
Diodes (DIOD) reported Total Liabilities of $561.06 million for Q2 2026, up 4.4% from $537.38 million a year earlier and up 2.6% from the prior quarter.
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Analysis
Diodes (DIOD) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Diodes posted Total Liabilities of $509.69 million, down 1.5% from FY2024.
- Total Liabilities has declined for five consecutive years, with a five-year compound annual growth rate of -12.0% (FY2020 to FY2025).
- By year, Total Liabilities came in at $517.33 million in FY2024 (-7.3%), $557.98 million in FY2023 (-20.9%), $705.39 million in FY2022 (-20.9%) and $891.77 million in FY2021 (-7.4%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities since Q3 2023.
- Year over year, Total Liabilities gained in four of the last eight quarters, with an average decline of 0.6%.
- The high point for year-over-year Total Liabilities in five years was Q1 2026 (growth of 12.9%); the low point was Q3 2023 (a decline of 35.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $546.86 million (Q1 2026), $509.69 million (Q4 2025) and $522.37 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,235.65 Bn | 5,009.82 Bn | 72.14 Bn | 91.29 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,206.84 Bn | 1,831.70 Bn | 27.22 Bn | 92.36 Bn |
| 3 | Broadcom | 1,595.23 Bn | 1,521.27 Bn | 20.46 Bn | 88.46 Bn |
| 4 | Micron Technology | 1,011.16 Bn | 916.79 Bn | 47.05 Bn | 57.51 Bn |
| 5 | Advanced Micro Devices | 874.75 Bn | 831.50 Bn | 6.20 Bn | 17.24 Bn |
| 6 | Asml Holding | 634.65 Bn | 590.34 Bn | 5.90 Bn | 36.36 Bn |
| 7 | Intel | 469.01 Bn | 338.14 Bn | 6.51 Bn | 99.30 Bn |
| 8 | Lam Research | 331.52 Bn | 308.31 Bn | 3.48 Bn | 11.06 Bn |
| 9 | Applied Materials | 321.88 Bn | 287.32 Bn | 4.59 Bn | 17.90 Bn |
| 10 | Diodes | 3.93 Bn | 2.30 Bn | 147.57 Mn | 561.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 561.06 Mn |
| Mar 31, 2026 | 546.86 Mn |
| Dec 31, 2025 | 509.69 Mn |
| Sep 30, 2025 | 522.37 Mn |
| Jun 30, 2025 | 537.38 Mn |
| Mar 31, 2025 | 484.51 Mn |
| Dec 31, 2024 | 517.33 Mn |
| Sep 30, 2024 | 506.07 Mn |
| Jun 30, 2024 | 509.48 Mn |
| Mar 31, 2024 | 531.36 Mn |
| Dec 31, 2023 | 557.98 Mn |
| Sep 30, 2023 | 581.34 Mn |
| Jun 30, 2023 | 610.49 Mn |
| Mar 31, 2023 | 619.89 Mn |
| Dec 31, 2022 | 705.39 Mn |
| Sep 30, 2022 | 899.86 Mn |
| Jun 30, 2022 | 867.59 Mn |
| Mar 31, 2022 | 805.44 Mn |
| Dec 31, 2021 | 891.77 Mn |
| Sep 30, 2021 | 824.80 Mn |
API Access
Diodes 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=DIOD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "DIOD", "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=DIOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();