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 | 1,148.52 Bn | 983.08 Bn | 4.75 Bn | 47.48 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn | 3.42 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn | 5.63 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn | 5.36 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn | 122.27 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn | 219.21 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn | 8.76 Bn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn | - |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn | 74.97 Bn |
| 10 | Holley | 283.53 Mn | 93.49 Mn | 70.54 Mn | 674.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 674.82 Mn |
| Mar 29, 2026 | 681.64 Mn |
| Dec 31, 2025 | 681.81 Mn |
| Sep 28, 2025 | 691.96 Mn |
| Jun 29, 2025 | 684.10 Mn |
| Mar 30, 2025 | 684.02 Mn |
| Dec 31, 2024 | 679.91 Mn |
| Sep 29, 2024 | 697.73 Mn |
| Jun 30, 2024 | 708.49 Mn |
| Mar 31, 2024 | 721.55 Mn |
| Dec 31, 2023 | 735.85 Mn |
| Oct 1, 2023 | 755.22 Mn |
| Jul 2, 2023 | 790.66 Mn |
| Apr 2, 2023 | 795.13 Mn |
| Dec 31, 2022 | 808.66 Mn |
| Oct 2, 2022 | 810.66 Mn |
| Jul 3, 2022 | 836.04 Mn |
| Apr 3, 2022 | 845.73 Mn |
| Dec 31, 2021 | 827.28 Mn |
| Sep 26, 2021 | 770.88 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();