Financhill
Back

Killam Apartment Real Estate Investment Trust Stock Predictions

Better Than Oil Stocks

CLICK HERE TO FIND OUT MORE
Sell
28

KMMPF
Killam Apartment Real Estate Investment Trust

Last Price:
12.58
Seasonality Move:
4.9%

7 Day Trial

ALL ACCESS PASS

$ 7

Zero Day Options Trade LIVE Tuesday at 2 p.m. ET!

Discover The Zero Day Loophole (BEFORE Tues at 2 p.m. ET!)

Killam Apartment Real Estate Investment Trust Stock Forecast

  • Over the next 52 weeks, Killam Apartment Real Estate Investment Trust has on average historically risen by 7% based on the past 8 years of stock performance.
  • Killam Apartment Real Estate Investment Trust has risen higher in 5 of those 8 years over the subsequent 52-week period, corresponding to a historical accuracy of 62.5%
  • Is Killam Apartment Real Estate Investment Trust Stock Undervalued?
    The current Killam Apartment Real Estate Investment Trust [KMMPF] share price is $12.68. The Score for KMMPF is 28, which is 44% below its historic median score of 50, and infers higher risk than normal.
  • KMMPF is currently trading in the 20-30% percentile range relative to its historical Stock Score levels.

Will Killam Apartment Real Estate Investment Trust Stock Go Up Next Year?

  • Over the next 52 weeks, Killam Apartment Real Estate Investment Trust has on average historically risen by 7% based on the past 8 years of stock performance.

Killam Apartment Real Estate Investment Trust Stock Rating

Sell
28
Killam Apartment Real Estate Investment Trust (KMMPF) is a Sell

Is Killam Apartment Real Estate Investment Trust overpriced?

  • Killam Apartment Real Estate Investment Trust has risen higher in 5 of those 8 years over the subsequent 52-week period, corresponding to a historical accuracy of 62.5%

Killam Apartment Real Estate Investment Trust Stock Price History

Is KMMPF stock going to rise?

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and KMMPF is experiencing slight buying pressure.

Stock Information

Stock Info

Exchange:
OTCM
Country:
Canada
Industry:
Residential REITs
Sector:
Real Estate
Type:
stock
Website:
killamreit.com

52-Week Data

52-Week High:
15.75
52-Week Low:
12.23

Prediction Charts

Market Cap:
1.51B
Price in USD:
12.68
Volume:
0
Beta:
0.77

Technical Analysis

SMA50:
13.81
SMA100:
14.00
SMA200:
13.48
52-Wk Change:
-3.72%

Stock Predictions

  • Is Killam Apartment Real Estate Investment Trust stock public?
    Yes, Killam Apartment Real Estate Investment Trust is a publicly traded company.
  • What is the Killam Apartment Real Estate Investment Trust stock quote today?
    The Killam Apartment Real Estate Investment Trust stock price is 12.68 USD today.
  • How to buy Killam Apartment Real Estate Investment Trust stock online?
    You can buy Killam Apartment Real Estate Investment Trust shares by opening an account at a top tier brokerage firm, such as TD Ameritrade or tastyworks.

14-Day Historical Data

Date Opening Closing Minimum Maximum
Nov-20 13.13 13.13 13.13 13.13
Nov-21 13.13 13.13 13.13 13.13
Nov-22 12.96 12.94 12.96 12.94
Nov-25 12.94 12.94 12.94 12.94
Nov-26 13.00 12.90 13.00 12.82
Nov-27 12.92 12.92 12.92 12.92
Nov-29 13.09 13.09 13.09 13.09
Dec-2 13.04 13.15 13.15 13.04
Dec-3 13.15 13.15 13.15 13.15
Dec-4 13.15 13.15 13.15 13.15
Dec-5 13.15 13.15 13.15 13.15
Dec-6 12.85 12.80 12.87 12.80
Dec-9 12.77 12.68 12.77 12.68
Dec-10 12.68 12.68 12.68 12.68

Killam Apartment Real Estate Investment Trust Earnings

Killam Apartment Real Estate Investment Trust Earnings Report: Per Share Killam Apartment Real Estate Investment Trust Earnings Q1 Q2 Q3 and Q4 last year and next year.

Killam Apartment Real Estate Investment Trust Forecast Revenue Growth

Killam Apartment Real Estate Investment Trust Stock Analysis: Historical quarterly revenues per share for Killam Apartment Real Estate Investment Trust and historical quarterly revenue growth:

* Killam Apartment Real Estate Investment Trust stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.