Culp (CULP) Total Current Liabilities (2010 - 2026)
Culp (CULP) posted Total Current Liabilities of $43.48 million for Q1 2027, down 9.2% from $47.9 million a year earlier and down 3.3% from the prior quarter.
Culp (CULP) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026, Culp's Total Current Liabilities came in at $44.96 million, down 4.3% from FY2025.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of -6.0% (FY2021 to FY2026).
- In prior years, Culp's Total Current Liabilities was $46.96 million in FY2025 (+23.2%), $38.11 million in FY2024 (-13.4%), $44.02 million in FY2023 (+35.2%) and $32.56 million in FY2022 (-46.8%).
- The Q1 2027 figure stands as the lowest quarterly Total Current Liabilities since Q1 2025.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 8.0%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2023, with growth of 35.2%; the weakest was Q4 2022, with a decline of 46.8%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $44.96 million (Q4 2026), $51.59 million (Q3 2026) and $51.26 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 286.79 Bn | 258.48 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 207.79 Bn | 202.63 Bn | 4.02 Bn | 10.04 Bn |
| 3 | Deere | 179.59 Bn | 188.36 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.14 Bn | 149.12 Bn | 3.11 Bn | 12.99 Bn |
| 5 | Parker-Hannifin | 119.11 Bn | 117.24 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Emerson Electric | 92.81 Bn | 85.56 Bn | 2.66 Bn | 10.77 Bn |
| 7 | 3M | 91.48 Bn | 73.90 Bn | 2.78 Bn | 11.87 Bn |
| 8 | Vertiv Holdings | 90.86 Bn | 79.71 Bn | 1.64 Bn | 8.71 Bn |
| 9 | Illinois Tool Works | 81.44 Bn | 78.12 Bn | 1.91 Bn | 5.10 Bn |
| 10 | Culp | 47.45 Mn | 8.53 Mn | 15.38 Mn | 43.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 43.48 Mn |
| May 3, 2026 | 44.96 Mn |
| Feb 1, 2026 | 51.59 Mn |
| Nov 2, 2025 | 51.26 Mn |
| Aug 3, 2025 | 47.90 Mn |
| Apr 27, 2025 | 46.96 Mn |
| Jan 26, 2025 | 50.65 Mn |
| Oct 27, 2024 | 48.43 Mn |
| Jul 28, 2024 | 42.22 Mn |
| Apr 28, 2024 | 38.11 Mn |
| Jan 28, 2024 | 43.44 Mn |
| Oct 29, 2023 | 41.64 Mn |
| Jul 30, 2023 | 38.25 Mn |
| Apr 30, 2023 | 44.02 Mn |
| Jan 29, 2023 | 36.37 Mn |
| Oct 30, 2022 | 39.51 Mn |
| Jul 31, 2022 | 41.68 Mn |
| May 1, 2022 | 32.56 Mn |
| Jan 30, 2022 | 59.22 Mn |
| Oct 31, 2021 | 55.92 Mn |
Culp 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=CULP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=CULP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();