Diodes (DIOD) Total Non-Current Liabilities (2009 - 2026)
Diodes (DIOD) recorded Total Non-Current Liabilities of $515.33 million in Q2 2026, up 17.8% from $437.49 million a year earlier and up 2.9% from the prior quarter.
Diodes (DIOD) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Diodes reported Total Non-Current Liabilities of $461.05 million, up 8.0% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -11.1% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $426.76 million in FY2024 (-6.9%), $458.17 million in FY2023 (-26.6%), $624.5 million in FY2022 (-18.8%) and $768.84 million in FY2021 (-7.7%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q4 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased for five consecutive quarters, with growth averaging 3.7% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 23.1% in Q1 2026, against a decline of 39.2% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $500.93 million (Q1 2026), $461.05 million (Q4 2025) and $439.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,270.52 Bn | 5,044.68 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,210.34 Bn | 1,835.21 Bn | 27.22 Bn | 32.74 Bn |
| 3 | Broadcom | 1,610.78 Bn | 1,536.82 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,032.15 Bn | 937.79 Bn | 47.05 Bn | 45.85 Bn |
| 5 | Advanced Micro Devices | 889.83 Bn | 846.58 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 639.47 Bn | 595.16 Bn | 5.90 Bn | 7.86 Bn |
| 7 | Intel | 476.67 Bn | 345.80 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 334.69 Bn | 311.49 Bn | 3.48 Bn | 9.67 Bn |
| 9 | Applied Materials | 323.70 Bn | 289.14 Bn | 4.59 Bn | 15.60 Bn |
| 10 | Diodes | 3.97 Bn | 2.34 Bn | 147.57 Mn | 515.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 515.33 Mn |
| Mar 31, 2026 | 500.93 Mn |
| Dec 31, 2025 | 461.05 Mn |
| Sep 30, 2025 | 439.76 Mn |
| Jun 30, 2025 | 437.49 Mn |
| Mar 31, 2025 | 406.79 Mn |
| Dec 31, 2024 | 426.76 Mn |
| Sep 30, 2024 | 419.14 Mn |
| Jun 30, 2024 | 423.51 Mn |
| Mar 31, 2024 | 441.46 Mn |
| Dec 31, 2023 | 458.17 Mn |
| Sep 30, 2023 | 482.13 Mn |
| Jun 30, 2023 | 512.68 Mn |
| Mar 31, 2023 | 492.99 Mn |
| Dec 31, 2022 | 624.50 Mn |
| Sep 30, 2022 | 792.81 Mn |
| Jun 30, 2022 | 761.43 Mn |
| Mar 31, 2022 | 688.46 Mn |
| Dec 31, 2021 | 768.84 Mn |
| Sep 30, 2021 | 697.35 Mn |
Diodes Total Non-Current 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-non-current-liabilities&ticker=DIOD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=DIOD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();