sale-and-leaseback in the netherlands aart hordijk eres conference 27- 06-2009
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Sale-and-leaseback in the Netherlands Aart Hordijk ERES Conference 27- 06-2009. Introduction. Sale-and-leaseback: Arrangement in which one party sells a property to a buyer and the buyer immediately leases the property back to the seller Goal: - PowerPoint PPT PresentationTRANSCRIPT
Sale-and-leaseback in the
Netherlands
Aart Hordijk
ERES Conference27- 06-2009
1
Introduction
Sale-and-leaseback: Arrangement in which one party sells a property to a buyer and the buyer immediately leases the property back to the seller
Goal: Find out how market conform rents are in sale-and-leaseback transactions in The Netherlands
2
Introduction
Motivations sale-and-leaseback transactions:
• Liquidize the capital value of the property• Business plan / management consideration• Potential high book profits (timing decision)• The liability for fluctuations in the value of
the property can fall due (since 2005 on the Profit-and-Loss account according to the IAS)
3
Data
The initial number of transactions was 317, but after critically analyzing the list 42 transactions should be removed
Sector Number of transactions
Office 137
Industrial 100
Retail 15
Unknown 23
Total 275
4
DataNumber of transactions per sector
(including total floor space)
Year Office Industrial
≤ 2000 8 (109,500 m2)
0
2001 11 (100,176 m2)
0
2002 4 (53,052 m2)
1 (6,610 m2)
2003 9 (174,341 m2)
8 (103,516 m2)
2004 9 (84,717 m2)
20 (291,656 m2)
2005 25 (363,596 m2)
7 (58,383 m2)
2006 22 (285,585 m2)
21 (331,917 m2)
2007 38 (111,589 m2)
25 (304,610 m2)
2008 8 (32,680 m2)
18 (211,614 m2)
5
Data
When known, per sector is given:
Where the floor space is known for almost all transactions, there is much less transparency about the rental and purchase prices and the yields
• Floor space • Rental price• Purchase price • Gross initial
yield• Landlord and tenant
• Seller and buyer
6
Data
The yield can be calculated (when not known) given the following formula:
(floor space x rent) / purchase price
When three of the four variables are known, the other can be calculated
7
Data
Rents from the data are checked by comparing them with market rents from:
• ROZ/IPD Key Centers Report 1995 – 2008
• DTZ publications (Figures in Perspective)
• Dynamis office publication
8
Results
• Determining the purchase price based on the formula is in theory possible, but due to the large spread in time, rental price, and yield that is too rough.
• 3 – 3,5 billion euro total investment value estimated
9
Results
10
Results
11
Results
• 66% of the transactions include a higher rent than the market rent
• Difference bigger for the industrial sector than for the office sector
• For big offices the contract rent is on average 20% higher than the market rent
• Yield differences are much smaller than the difference in the rents
12
Conclusions
• Much more transparency needed• More transparency would lead to better
market conformity• Length of the contract is important but
often missing
13
Further research
Further research of sale-and-leaseback transactions is strongly encouraged
• Find more information to increase transparency
• International research
14