Kimco Realty (KIM) Property Operating Expenses (2009 - 2019)
Kimco Realty (KIM) posted Property Operating Expenses of $2.86 million for Q4 2019, up 7.2% from $2.67 million a year earlier and up 0.8% from the prior quarter.
Powered by 
Analysis
Kimco Realty (KIM) Property Operating Expenses (2009 - 2019) Analysis & Trends
For FY2019, Kimco Realty's Property Operating Expenses came in at $11.31 million, up 3.5% from FY2018.
- Annual Property Operating Expenses shows a five-year compound annual growth rate of -4.5% (FY2014 to FY2019).
- In prior years, Kimco Realty's Property Operating Expenses was $10.93 million in FY2018 (-1.9%), $11.15 million in FY2017 (+1.4%), $10.99 million in FY2016 (-11.0%) and $12.35 million in FY2015 (-13.4%).
- Quarterly Property Operating Expenses has run from a low of $2.67 million in Q4 2018 to a high of $3.55 million in Q1 2015 over five years.
- On a year-over-year basis, Property Operating Expenses has increased in each of the last three quarters, with growth averaging 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Property Operating Expenses in the past five years was Q1 2015, with growth of 7.5%; the weakest was Q4 2015, with a decline of 26.2%.
- According to Business Quant data, Property Operating Expenses for the three prior quarters was $2.84 million (Q3 2019), $2.92 million (Q2 2019) and $2.69 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Property Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Welltower | 179.50 Bn | 165.52 Bn | 1.47 Bn | - |
| 2 | Prologis | 123.38 Bn | 117.33 Bn | - | 511.72 Mn |
| 3 | Simon Property | 74.01 Bn | 70.07 Bn | - | 171.44 Mn |
| 4 | Public Storage | 62.95 Bn | 61.68 Bn | - | 333.19 Mn |
| 5 | Realty Income | 55.94 Bn | 54.21 Bn | - | 122.39 Mn |
| 6 | Ventas | 45.93 Bn | 44.61 Bn | - | 1.10 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 | - | 142.75 Mn |
| 10 | Kimco Realty | 17.28 Bn | 15.65 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 2.86 Mn |
| Sep 30, 2019 | 2.84 Mn |
| Jun 30, 2019 | 2.92 Mn |
| Mar 31, 2019 | 2.69 Mn |
| Dec 31, 2018 | 2.67 Mn |
| Sep 30, 2018 | 2.70 Mn |
| Jun 30, 2018 | 2.74 Mn |
| Mar 31, 2018 | 2.82 Mn |
| Dec 31, 2017 | 2.83 Mn |
| Sep 30, 2017 | 2.76 Mn |
| Jun 30, 2017 | 2.77 Mn |
| Mar 31, 2017 | 2.78 Mn |
| Dec 31, 2016 | 2.72 Mn |
| Sep 30, 2016 | 2.73 Mn |
| Jun 30, 2016 | 2.73 Mn |
| Mar 31, 2016 | 2.82 Mn |
| Dec 31, 2015 | 2.87 Mn |
| Sep 30, 2015 | 2.91 Mn |
| Jun 30, 2015 | 3.01 Mn |
| Mar 31, 2015 | 3.55 Mn |
API Access
Kimco Realty Property Operating Expenses 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-operating-expenses&ticker=KIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-operating-expenses", "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=property-operating-expenses&ticker=KIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();