Holley (HLLY) Total Current Liabilities (2020 - 2026)
Holley (HLLY) posted Total Current Liabilities of $108.13 million for Q2 2026, up 4.4% from $103.56 million a year earlier and up 7.8% from the prior quarter.
Holley (HLLY) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Holley's Total Current Liabilities came in at $115.12 million, up 21.0% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- In prior years, Holley's Total Current Liabilities was $95.17 million in FY2024 (+1.5%), $93.74 million in FY2023 (-7.4%), $101.26 million in FY2022 (+10.3%) and $91.8 million in FY2021 (+11.9%).
- Quarterly Total Current Liabilities has run from a low of $88.88 million in Q3 2023 to a high of $115.12 million in Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities increased in five of the last eight quarters, with growth averaging 6.0%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2025, with growth of 21.0%; the weakest was Q3 2023, with a decline of 7.8%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $100.31 million (Q1 2026), $115.12 million (Q4 2025) and $113.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Tesla | 1,157.07 Bn | 991.62 Bn | 4.75 Bn | 35.43 Bn |
| 2 | Toyota Motor | 254.94 Bn | -151.80 Bn | 20.95 Bn | 208.54 Bn |
| 3 | Ferrari | 147.58 Bn | 140.03 Bn | 1.18 Bn | - |
| 4 | Honda Motor | 147.32 Bn | 14.70 Bn | 8.46 Bn | 64.48 Bn |
| 5 | General Motors | 70.77 Bn | -34.10 Bn | 7.33 Bn | 96.83 Bn |
| 6 | Ford Motor | 48.49 Bn | -93.97 Bn | 6.08 Bn | 107.93 Bn |
| 7 | Rivian Automotive | 20.14 Bn | -3.15 Bn | 179.00 Mn | 3.62 Bn |
| 8 | Magna International | 18.12 Bn | 15.68 Bn | 1.61 Bn | - |
| 9 | Stellantis | 13.39 Bn | -152.61 Bn | 5.55 Bn | 101.34 Bn |
| 10 | Holley | 289.54 Mn | 99.50 Mn | 70.54 Mn | 108.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 108.13 Mn |
| Mar 29, 2026 | 100.31 Mn |
| Dec 31, 2025 | 115.12 Mn |
| Sep 28, 2025 | 113.88 Mn |
| Jun 29, 2025 | 103.56 Mn |
| Mar 30, 2025 | 100.82 Mn |
| Dec 31, 2024 | 95.17 Mn |
| Sep 29, 2024 | 101.87 Mn |
| Jun 30, 2024 | 107.52 Mn |
| Mar 31, 2024 | 101.72 Mn |
| Dec 31, 2023 | 93.74 Mn |
| Oct 1, 2023 | 88.88 Mn |
| Jul 2, 2023 | 103.21 Mn |
| Apr 2, 2023 | 95.57 Mn |
| Dec 31, 2022 | 101.26 Mn |
| Oct 2, 2022 | 96.40 Mn |
| Jul 3, 2022 | 90.84 Mn |
| Apr 3, 2022 | 96.81 Mn |
| Dec 31, 2021 | 91.80 Mn |
| Sep 26, 2021 | 101.58 Mn |
Holley Total 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-current-liabilities&ticker=HLLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=HLLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();