Kimco Realty (KIM) Land (2009 - 2025)
Kimco Realty (KIM) recorded Land & Improvements of $4.55 billion in Q4 2025, up 1.2% from $4.5 billion a year earlier.
Analysis
Kimco Realty (KIM) Land (2009 - 2025) Analysis & Trends
Starting with Q4 2009, Kimco Realty's Land & Improvements history includes 17 quarters.
- Annual Land & Improvements has increased for five straight years, with a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Across earlier years, Land & Improvements came in at $4.5 billion in FY2024 (+7.7%), $4.18 billion in FY2023 (+1.3%), $4.12 billion in FY2022 (+3.5%) and $3.98 billion in FY2021 (+43.2%).
- The Q4 2025 figure is the highest quarterly Land & Improvements in data going back to Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Welltower | 179.50 Bn | 165.52 Bn | 1.47 Bn |
| 2 | Prologis | 123.38 Bn | 117.33 Bn | - |
| 3 | Simon Property | 74.01 Bn | 70.07 Bn | - |
| 4 | Public Storage | 62.95 Bn | 61.68 Bn | - |
| 5 | Realty Income | 55.94 Bn | 54.21 Bn | - |
| 6 | Ventas | 45.93 Bn | 44.61 Bn | - |
| 7 | Extra Space Storage | 34.06 Bn | 32.98 Bn | 650.96 Mn |
| 8 | Vici Properties | 27.80 Bn | 26.15 Bn | 1.06 Bn |
| 9 | Vivmark Residential | 23.98 Bn | 23.76 Bn | - |
| 10 | Kimco Realty | 17.28 Bn | 15.65 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 4.55 Bn |
| Dec 31, 2024 | 4.50 Bn |
| Dec 31, 2023 | 4.18 Bn |
| Dec 31, 2022 | 4.12 Bn |
| Dec 31, 2021 | 3.98 Bn |
| Dec 31, 2020 | 2.78 Bn |
| Dec 31, 2019 | 2.79 Bn |
| Dec 31, 2018 | 2.82 Bn |
| Dec 31, 2017 | 3.02 Bn |
| Dec 31, 2016 | 2.85 Bn |
| Dec 31, 2015 | 2.73 Bn |
| Dec 31, 2014 | 2.37 Bn |
| Dec 31, 2013 | 2.07 Bn |
| Dec 31, 2012 | 2.02 Bn |
| Dec 31, 2011 | 1.95 Bn |
| Dec 31, 2010 | 1.84 Bn |
| Dec 31, 2009 | 1.94 Bn |
API Access
Kimco Realty Land 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=land&ticker=KIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land", "ticker": "KIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=land&ticker=KIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();