Culp (CULP) Total Liabilities (2010 - 2026)
Culp (CULP) posted Total Liabilities of $54.29 million for Q1 2027, down 21.1% from $68.77 million a year earlier and down 15.0% from the prior quarter.
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Analysis
Culp (CULP) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026, Culp's Total Liabilities came in at $63.84 million, down 2.9% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of -5.6% (FY2021 to FY2026).
- In prior years, Culp's Total Liabilities was $65.73 million in FY2025 (+17.5%), $55.93 million in FY2024 (-11.4%), $63.1 million in FY2023 (+8.7%) and $58.06 million in FY2022 (-31.8%).
- The Q1 2027 figure stands as the lowest quarterly Total Liabilities since Q3 2020.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 5.5%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2025, with growth of 17.5%; the weakest was Q3 2023, with a decline of 32.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $63.84 million (Q4 2026), $70.53 million (Q3 2026) and $71.66 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 286.79 Bn | 258.48 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.79 Bn | 202.63 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 179.59 Bn | 188.36 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 152.14 Bn | 149.12 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 119.11 Bn | 117.24 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 92.81 Bn | 85.56 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 91.48 Bn | 73.90 Bn | 2.78 Bn | 35.36 Bn |
| 8 | Vertiv Holdings | 90.86 Bn | 79.71 Bn | 1.64 Bn | 12.67 Bn |
| 9 | Illinois Tool Works | 81.44 Bn | 78.12 Bn | 1.91 Bn | 13.36 Bn |
| 10 | Culp | 47.45 Mn | 8.53 Mn | 15.38 Mn | 54.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 54.29 Mn |
| May 3, 2026 | 63.84 Mn |
| Feb 1, 2026 | 70.53 Mn |
| Nov 2, 2025 | 71.66 Mn |
| Aug 3, 2025 | 68.77 Mn |
| Apr 27, 2025 | 65.73 Mn |
| Jan 26, 2025 | 67.91 Mn |
| Oct 27, 2024 | 65.36 Mn |
| Jul 28, 2024 | 60.02 Mn |
| Apr 28, 2024 | 55.93 Mn |
| Jan 28, 2024 | 61.20 Mn |
| Oct 29, 2023 | 58.53 Mn |
| Jul 30, 2023 | 56.79 Mn |
| Apr 30, 2023 | 63.10 Mn |
| Jan 29, 2023 | 57.09 Mn |
| Oct 30, 2022 | 59.52 Mn |
| Jul 31, 2022 | 66.50 Mn |
| May 1, 2022 | 58.06 Mn |
| Jan 30, 2022 | 84.83 Mn |
| Oct 31, 2021 | 80.87 Mn |
API Access
Culp Total 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-liabilities&ticker=CULP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CULP", "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-liabilities&ticker=CULP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();