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 | 1,231.10 Bn | 1,057.12 Bn | 4.75 Bn |
| 2 | Ferrari | 70.90 Bn | 63.39 Bn | 1.18 Bn |
| 3 | General Motors | 67.40 Bn | -37.21 Bn | 9.28 Bn |
| 4 | Ford Motor | 47.78 Bn | -94.71 Bn | 6.08 Bn |
| 5 | Honda Motor | 46.11 Bn | -103.70 Bn | 8.46 Bn |
| 6 | Toyota Motor | 24.76 Bn | -376.05 Bn | 20.95 Bn |
| 7 | Magna International | 18.23 Bn | 12.25 Bn | 1.61 Bn |
| 8 | Rivian Automotive | 15.97 Bn | -7.34 Bn | 179.00 Mn |
| 9 | Stellantis | 12.31 Bn | -152.34 Bn | 5.55 Bn |
| 10 | Holley | 309.37 Mn | 119.33 Mn | 70.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 38.53 Mn |
| Mar 29, 2026 | 43.73 Mn |
| Dec 31, 2025 | 37.29 Mn |
| Sep 28, 2025 | 39.04 Mn |
| Jun 29, 2025 | 37.77 Mn |
| Mar 30, 2025 | 37.26 Mn |
| Dec 31, 2024 | 34.22 Mn |
| Sep 29, 2024 | 29.71 Mn |
| Jun 30, 2024 | 30.06 Mn |
| Mar 31, 2024 | 33.35 Mn |
| Dec 31, 2023 | 38.20 Mn |
| Oct 1, 2023 | 39.06 Mn |
| Jul 2, 2023 | 34.88 Mn |
| Apr 2, 2023 | 34.10 Mn |
| Dec 31, 2022 | 30.44 Mn |
| Oct 2, 2022 | 40.93 Mn |
| Jul 3, 2022 | 79.84 Mn |
| Apr 3, 2022 | 93.11 Mn |
| Dec 31, 2021 | 89.06 Mn |
| Sep 26, 2021 | 78.71 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();