Culp (CULP) Total Non-Current Liabilities (2010 - 2026)
Culp's Total Non-Current Liabilities was $49.49 million in Q1 2027, down 21.5% from $63.07 million a year earlier and down 15.9% from the prior quarter.
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Analysis
Culp (CULP) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2026, Total Non-Current Liabilities at Culp came in at $58.85 million, up 0.2% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -5.2% (FY2021 to FY2026).
- In earlier years, Total Non-Current Liabilities was $58.73 million in FY2025 (+22.0%), $48.13 million in FY2024 (-12.3%), $54.9 million in FY2023 (+12.7%) and $48.72 million in FY2022 (-36.5%).
- The Q1 2027 figure marks the lowest quarterly Total Non-Current Liabilities since Q4 2024.
- Compared with a year earlier, Total Non-Current Liabilities was higher in seven of the last eight quarters, with growth averaging 8.1%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 22.0%); the worst was Q4 2022 (a decline of 36.5%).
- Per Business Quant data, CULP's Total Non-Current Liabilities in the three quarters before Q1 2027 was $58.85 million (Q4 2026), $65.44 million (Q3 2026) and $66 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 271.70 Bn | 243.40 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 194.29 Bn | 188.99 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 182.27 Bn | 150.36 Bn | 4.66 Bn | - |
| 4 | Eaton | 136.46 Bn | 133.40 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 114.67 Bn | 112.79 Bn | 2.25 Bn | 14.72 Bn |
| 6 | 3M | 100.34 Bn | 81.78 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 95.00 Bn | 87.74 Bn | 2.66 Bn | 18.30 Bn |
| 8 | Illinois Tool Works | 83.43 Bn | 80.11 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 78.67 Bn | 67.52 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Culp | 48.26 Mn | 9.34 Mn | 15.38 Mn | 48.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 48.44 Mn |
| May 3, 2026 | 57.87 Mn |
| Feb 1, 2026 | 64.60 Mn |
| Nov 2, 2025 | 65.15 Mn |
| Aug 3, 2025 | 62.23 Mn |
| Apr 27, 2025 | 52.25 Mn |
| Jan 26, 2025 | 60.35 Mn |
| Oct 27, 2024 | 57.01 Mn |
| Jul 28, 2024 | 50.89 Mn |
| Apr 28, 2024 | 39.11 Mn |
| Jan 28, 2024 | 52.27 Mn |
| Oct 29, 2023 | 49.73 Mn |
| Jul 30, 2023 | 47.11 Mn |
| Apr 30, 2023 | 45.39 Mn |
| Jan 29, 2023 | 46.86 Mn |
| Oct 30, 2022 | 49.41 Mn |
| Jul 31, 2022 | 53.85 Mn |
| May 1, 2022 | 36.32 Mn |
| Jan 30, 2022 | 72.55 Mn |
| Oct 31, 2021 | 68.76 Mn |
API Access
Culp Total 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=total-non-current-liabilities&ticker=CULP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=CULP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();