Holley (HLLY) Other Non-Current Liabilities (2020 - 2026)
Holley (HLLY) posted Other Non-Current Liabilities of $37.81 million for Q2 2026, up 4.2% from $36.29 million a year earlier but down 8.2% from the prior quarter.
Holley (HLLY) Other Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Holley's Other Non-Current Liabilities came in at $33.22 million, up 3.0% from FY2024.
- Annual Other Non-Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 10.7% (FY2020 to FY2025).
- In prior years, Holley's Other Non-Current Liabilities was $32.26 million in FY2024 (+22.5%), $26.34 million in FY2023 (+5.4%), $24.99 million in FY2022 (-59.2%) and $61.29 million in FY2021 (+206.5%).
- Quarterly Other Non-Current Liabilities has run from a low of $24.59 million in Q2 2023 to a high of $63.52 million in Q1 2022 over five years.
- On a year-over-year basis, Other Non-Current Liabilities has increased in each of the last nine quarters, with growth averaging 18.8% over the last eight quarters.
- The strongest year-over-year quarter for Other Non-Current Liabilities in the past five years was Q4 2021, with growth of 206.5%; the weakest was Q4 2022, with a decline of 59.2%.
- According to Business Quant data, Other Non-Current Liabilities for the three prior quarters was $41.21 million (Q1 2026), $33.22 million (Q4 2025) and $33.41 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Tesla | 1,148.52 Bn | 983.08 Bn | 4.75 Bn |
| 2 | Toyota Motor | 242.17 Bn | -164.57 Bn | 20.95 Bn |
| 3 | Ferrari | 145.86 Bn | 138.30 Bn | 1.18 Bn |
| 4 | Honda Motor | 143.38 Bn | 10.76 Bn | 8.46 Bn |
| 5 | General Motors | 67.56 Bn | -37.30 Bn | 7.33 Bn |
| 6 | Ford Motor | 47.24 Bn | -95.23 Bn | 6.08 Bn |
| 7 | Rivian Automotive | 20.35 Bn | -2.94 Bn | 179.00 Mn |
| 8 | Magna International | 17.85 Bn | 15.41 Bn | 1.61 Bn |
| 9 | Stellantis | 12.63 Bn | -153.36 Bn | 5.55 Bn |
| 10 | Holley | 283.53 Mn | 93.49 Mn | 70.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 37.81 Mn |
| Mar 29, 2026 | 41.21 Mn |
| Dec 31, 2025 | 33.22 Mn |
| Sep 28, 2025 | 33.41 Mn |
| Jun 29, 2025 | 36.29 Mn |
| Mar 30, 2025 | 35.55 Mn |
| Dec 31, 2024 | 32.26 Mn |
| Sep 29, 2024 | 27.76 Mn |
| Jun 30, 2024 | 26.44 Mn |
| Mar 31, 2024 | 25.27 Mn |
| Dec 31, 2023 | 26.34 Mn |
| Oct 1, 2023 | 26.01 Mn |
| Jul 2, 2023 | 24.59 Mn |
| Apr 2, 2023 | 26.79 Mn |
| Dec 31, 2022 | 24.99 Mn |
| Oct 2, 2022 | 28.12 Mn |
| Jul 3, 2022 | 40.35 Mn |
| Apr 3, 2022 | 63.52 Mn |
| Dec 31, 2021 | 61.29 Mn |
| Sep 26, 2021 | 45.99 Mn |
Holley Other 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=other-non-current-liabilities&ticker=HLLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=HLLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();