Frp Holdings (FRPH) Pension (2012 - 2023)
Frp Holdings (FRPH) reported Pension of $1.41 million for Q4 2023, up 4.1% from $1.35 million a year earlier.
Powered by 
Analysis
Frp Holdings (FRPH) Pension (2012 - 2023) Analysis & Trends
Dating back to Q4 2012, Frp Holdings' Pension record includes 12 quarters.
- Pension has increased for three consecutive years, though with a five-year compound annual growth rate of -0.4% (FY2018 to FY2023).
- By year, Pension came in at $1.35 million in FY2022 (+4.0%), $1.3 million in FY2021 (+4.0%), $1.25 million in FY2020 (-12.1%) and $1.42 million in FY2019 (-1.1%).
- The Q4 2023 figure ranks as the highest quarterly Pension since Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.31 Bn | 22.14 Bn | - |
| 2 | Eason Technology | 6.61 Bn | 6.61 Bn | - |
| 3 | LandBridge | 6.20 Bn | 6.54 Bn | 65.71 Mn |
| 4 | Millrose Properties | 4.06 Bn | 4.06 Bn | - |
| 5 | St Joe | 3.76 Bn | 3.26 Bn | 73.42 Mn |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.89 Bn | 2.89 Bn | - |
| 7 | Opendoor Technologies | 2.35 Bn | -1.47 Bn | 86.00 Mn |
| 8 | Forestar | 1.34 Bn | -3.23 Mn | 84.10 Mn |
| 9 | Five Point Holdings | 705.60 Mn | 734.37 Mn | -23.72 Mn |
| 10 | Frp Holdings | 404.89 Mn | 404.89 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 1.41 Mn |
| Dec 31, 2022 | 1.35 Mn |
| Dec 31, 2021 | 1.30 Mn |
| Dec 31, 2020 | 1.25 Mn |
| Dec 31, 2019 | 1.42 Mn |
| Dec 31, 2018 | 1.44 Mn |
| Dec 31, 2017 | 1.46 Mn |
| Dec 31, 2016 | 1.48 Mn |
| Sep 30, 2016 | 1.49 Mn |
| Sep 30, 2015 | 1.39 Mn |
| Sep 30, 2014 | 1.23 Mn |
| Sep 30, 2013 | 1.35 Mn |
| Sep 30, 2012 | 1.23 Mn |
API Access
Frp Holdings Pension 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=pension&ticker=FRPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "ticker": "FRPH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=pension&ticker=FRPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();