Culp (CULP) Property, Plant & Equipment (Net) (2010 - 2026)
Culp (CULP) reported Property, Plant & Equipment (Net) of $20.19 million for Q1 2027, down 14.3% from $23.55 million a year earlier and down 3.9% from the prior quarter.
Culp (CULP) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2026, Culp posted Property, Plant & Equipment (Net) of $21.01 million, down 15.4% from FY2025.
- Property, Plant & Equipment (Net) has declined for five consecutive years, with a five-year compound annual growth rate of -13.7% (FY2021 to FY2026).
- By year, Property, Plant & Equipment (Net) came in at $24.84 million in FY2025 (-25.2%), $33.18 million in FY2024 (-8.1%), $36.11 million in FY2023 (-13.4%) and $41.7 million in FY2022 (-5.2%).
- The Q1 2027 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) in data going back to Q1 2011.
- Year over year, Property, Plant & Equipment (Net) has now declined in each of the last 18 quarters, with an average decline of 19.6% over the last eight quarters.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2022 (growth of 4.0%); the low point was Q4 2025 (a decline of 25.2%).
- Per Business Quant data, the three quarters before Q1 2027 came in at $21.01 million (Q4 2026), $21.61 million (Q3 2026) and $22.39 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 15.63 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | - |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 4.70 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.02 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 1.18 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.86 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 6.88 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.24 Bn |
| 10 | Culp | 49.48 Mn | 49.48 Mn | 15.38 Mn | 20.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 20.19 Mn |
| May 3, 2026 | 21.01 Mn |
| Feb 1, 2026 | 21.61 Mn |
| Nov 2, 2025 | 22.39 Mn |
| Aug 3, 2025 | 23.55 Mn |
| Apr 27, 2025 | 24.84 Mn |
| Jan 26, 2025 | 25.94 Mn |
| Oct 27, 2024 | 26.51 Mn |
| Jul 28, 2024 | 30.48 Mn |
| Apr 28, 2024 | 33.18 Mn |
| Jan 28, 2024 | 34.02 Mn |
| Oct 29, 2023 | 34.66 Mn |
| Jul 30, 2023 | 34.93 Mn |
| Apr 30, 2023 | 36.11 Mn |
| Jan 29, 2023 | 37.19 Mn |
| Oct 30, 2022 | 38.83 Mn |
| Jul 31, 2022 | 40.49 Mn |
| May 1, 2022 | 41.70 Mn |
| Jan 30, 2022 | 42.78 Mn |
| Oct 31, 2021 | 43.27 Mn |
Culp Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=CULP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=CULP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();