Lcnb (LCNB) Property, Plant & Equipment (Net) (2010 - 2026)
Lcnb (LCNB) recorded Property, Plant & Equipment (Net) of $39.78 million in Q2 2026, up 0.3% from $39.66 million a year earlier and up 2.1% from the prior quarter.
Lcnb (LCNB) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Lcnb reported Property, Plant & Equipment (Net) of $39.2 million, down 4.5% from FY2024.
- Annual Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 2.1% (FY2020 to FY2025).
- Across earlier years, Property, Plant & Equipment (Net) came in at $41.05 million in FY2024 (+13.1%), $36.3 million in FY2023 (+9.9%), $33.04 million in FY2022 (-6.6%) and $35.39 million in FY2021 (unchanged).
- The Q2 2026 figure is the highest quarterly Property, Plant & Equipment (Net) since Q1 2025.
- On a year-over-year basis, Property, Plant & Equipment (Net) rose in four of the last eight quarters, with growth averaging 4.0%.
- Peak year-over-year performance for Property, Plant & Equipment (Net) in the last five years was growth of 23.9% in Q3 2024, against a decline of 6.6% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $38.97 million (Q1 2026), $39.2 million (Q4 2025) and $39.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 37.70 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 29.00 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 12.79 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 4.98 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 8.96 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 11.63 Bn |
| 10 | Lcnb | 269.97 Mn | 158.46 Mn | - | 39.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.78 Mn |
| Mar 31, 2026 | 38.97 Mn |
| Dec 31, 2025 | 39.20 Mn |
| Sep 30, 2025 | 39.42 Mn |
| Jun 30, 2025 | 39.66 Mn |
| Mar 31, 2025 | 39.97 Mn |
| Dec 31, 2024 | 41.05 Mn |
| Sep 30, 2024 | 41.23 Mn |
| Jun 30, 2024 | 40.77 Mn |
| Mar 31, 2024 | 36.69 Mn |
| Dec 31, 2023 | 36.30 Mn |
| Sep 30, 2023 | 33.29 Mn |
| Jun 30, 2023 | 33.15 Mn |
| Mar 31, 2023 | 33.19 Mn |
| Dec 31, 2022 | 33.04 Mn |
| Sep 30, 2022 | 33.15 Mn |
| Jun 30, 2022 | 34.52 Mn |
| Mar 31, 2022 | 34.94 Mn |
| Dec 31, 2021 | 35.39 Mn |
| Sep 30, 2021 | 35.15 Mn |
Lcnb 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=LCNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "LCNB", "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=LCNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();