Holley (HLLY) Total Non-Current Liabilities (2020 - 2026)
Holley's Total Non-Current Liabilities came in at $674.82 million for Q2 2026, down 1.4% from $684.1 million a year earlier and down 1.0% from the prior quarter.
Holley (HLLY) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Holley's Total Non-Current Liabilities was $681.81 million, up 0.3% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $679.91 million in FY2024 (-7.6%), $735.85 million in FY2023 (-9.0%), $808.66 million in FY2022 (-2.3%) and $827.28 million in FY2021 (+2.8%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2020.
- Year-over-year, Total Non-Current Liabilities increased in 1 of the last eight quarters, with an average decline of 3.3%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2022 (growth of 5.2%), and the weakest in Q2 2024 (a decline of 10.4%).
- Business Quant data shows HLLY's Total Non-Current Liabilities at $681.64 million (Q1 2026), $681.81 million (Q4 2025) and $691.96 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,229.28 Bn | 1,055.31 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Ferrari | 70.36 Bn | 62.85 Bn | 1.18 Bn | 5.53 Bn |
| 3 | General Motors | 66.75 Bn | -37.86 Bn | 9.28 Bn | 118.34 Bn |
| 4 | Ford Motor | 47.37 Bn | -95.13 Bn | 6.08 Bn | 219.21 Bn |
| 5 | Honda Motor | 45.71 Bn | -104.10 Bn | 8.46 Bn | 5.28 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn | 3.36 Bn |
| 7 | Magna International | 18.00 Bn | 12.03 Bn | 1.61 Bn | - |
| 8 | Rivian Automotive | 16.35 Bn | -6.96 Bn | 179.00 Mn | 8.76 Bn |
| 9 | Stellantis | 12.11 Bn | -152.54 Bn | 5.55 Bn | 73.67 Bn |
| 10 | Holley | 300.11 Mn | 110.07 Mn | 70.54 Mn | 674.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 674.10 Mn |
| Mar 29, 2026 | 679.12 Mn |
| Dec 31, 2025 | 677.74 Mn |
| Sep 28, 2025 | 686.34 Mn |
| Jun 29, 2025 | 682.63 Mn |
| Mar 30, 2025 | 682.32 Mn |
| Dec 31, 2024 | 677.95 Mn |
| Sep 29, 2024 | 695.78 Mn |
| Jun 30, 2024 | 704.86 Mn |
| Mar 31, 2024 | 713.47 Mn |
| Dec 31, 2023 | 723.99 Mn |
| Oct 1, 2023 | 742.16 Mn |
| Jul 2, 2023 | 780.37 Mn |
| Apr 2, 2023 | 787.82 Mn |
| Dec 31, 2022 | 803.21 Mn |
| Oct 2, 2022 | 797.85 Mn |
| Jul 3, 2022 | 796.55 Mn |
| Apr 3, 2022 | 816.14 Mn |
| Dec 31, 2021 | 799.51 Mn |
| Sep 26, 2021 | 738.15 Mn |
Holley 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=HLLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "HLLY", "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=HLLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();