First Community Corp /Sc/ (FCCO) Occupancy Expense (2010 - 2026)
Analysis
First Community Corp /Sc/ (FCCO) Occupancy Expense (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 817,000.00 |
| Dec 31, 2025 | 801,000.00 |
| Sep 30, 2025 | 792,000.00 |
| Jun 30, 2025 | 772,000.00 |
| Mar 31, 2025 | 777,000.00 |
| Dec 31, 2024 | 773,000.00 |
| Sep 30, 2024 | 793,000.00 |
| Jun 30, 2024 | 738,000.00 |
| Mar 31, 2024 | 790,000.00 |
| Dec 31, 2023 | 738,000.00 |
| Sep 30, 2023 | 776,000.00 |
| Jun 30, 2023 | 813,000.00 |
| Mar 31, 2023 | 830,000.00 |
| Dec 31, 2022 | 725,000.00 |
| Sep 30, 2022 | 786,000.00 |
| Jun 30, 2022 | 786,000.00 |
| Mar 31, 2022 | 705,000.00 |
| Dec 31, 2021 | 740,000.00 |
| Sep 30, 2021 | 743,000.00 |
| Jun 30, 2021 | 734,000.00 |
API Access
First Community Corp /Sc/ Occupancy Expense 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=occupancy-expense&ticker=FCCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "FCCO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=occupancy-expense&ticker=FCCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();