Investment locations Germany 2017 Office – rents and yields The continued strong focus of investors and users on central modern office properties in prime locations will further intensify competition and lead to a corresponding price dynamic and sustained pressure on property yields. This development will bring diversification effects to B- and C-category locations, without compromising on the quality of the properties. Kiel 14.50 15.10 6.0 6.5 Rostock 11.50 12.00 6.5 7.1 Lübeck 12.00 12.20 7.0 7.5 Schwerin Wilhelmshaven 11.00 13.00 8.1 8.50 6.7 Hamburg 25.00 26.00 3.5 4.2 Bremen 13.00 13.50 5.0 5.3 23.50 26.50 3.4 4.1 Berlin 12.50 6.8 14.00 14.60 5.0 5.8 13.50 14.00 6.2 6.6 12.00 12.10 7.0 7.5 Dusseldorf 26.00 26.50 3.9 4.4 Ratingen 14.00 5.8 6.2 Neuss 8.50 6.2 6.3 11.00 6.9 7.0 10.50 7.0 6.9 8.50 7.5 7.5 Halle/Saale 10.50 10.60 6.0 6.8 5.8 6.1 Bonn 13.00 13.50 6.2 Magdeburg 11.00 11.50 6.5 Cottbus Essen 10.00 9.50 Hagen Krefeld 6.8 Ratingen MönchenWuppertal gladbach Solingen 12.50 12.50 9.50 9.00 Dusseldorf Düsseldorf 6.2 6.3 6.7 6.8 8.5 8.7 Neuss Leverkusen Cologne Siegen 12.00 Marburg 7.3 7.5 22.50 22.00 Aachen 11.00 3.9 4.5 13.50 14.00 6.4 6.6 Braunschweig Paderborn 8.50 6.9 7.1 Hamm 14.00 Dortmund 13.50 Bochum Duisburg Salzgitter 6.50 7.00 6.5 6.8 Bielefeld Münster Gütersloh 11.50 12.00 6.0 6.3 14.50 15.00 4.8 5.7 11.50 11.75 6.5 14.00 14.20 5.6 5.9 Potsdam Hanover Osnabrück 8.60 6.5 7.3 Kassel Leipzig 12.20 13.00 5.5 6.0 Dresden Weimar Erfurt Jena 10.50 6.4 6.7 7.10 7.9 11.00 7.1 7.2 11.10 7.3 12.00 5.7 6.1 Gera Chemnitz 7.30 7.20 7.5 7.6 9.50 9.75 7.5 18.00 19.30 5.2 5.3 10.50 6.6 Koblenz 38.50 39.00 3.8 4.3 14.00 14.50 5.5 5.8 11.50 12.00 6.5 7.0 Frankfurt/M. Offenbach/M. Aschaffenburg Darmstadt Wiesbaden Mainz 13.00 13.20 6.0 6.2 Trier 12.00 6.9 10.00 6.8 13.00 13.50 6.0 6.4 9.50 6.8 10.00 11.00 6.4 6.5 Erlangen Fürth Nuremberg 10.50 10.80 7.2 Heidelberg 14.50 16.00 5.6 5.9 12.50 Prime rent in €/m2 6.2 Prime gross yield in % 13.50 6.5 Mannheim 10.00 9.50 6.7 Bamberg 11.50 6.9 7.1 Ludwigshafen Prime rents and prime gross yields: 9.50 6.7 Schweinfurt Würzburg 15.00 16.40 5.8 6.1 10.50 7.5 Kaiserslautern Saarbrücken 13.00 6.9 14.00 15.00 5.0 5.4 Heilbronn Regensburg 12.00 12.50 5.7 5.8 Karlsruhe 13.50 14.00 5.9 13.50 14.00 6.0 Stuttgart Ingolstadt 22.80 23.00 3.9 4.6 11.00 12.00 5.9 6.0 Ulm Augsburg 15.00 6.0 6.1 13.00 5.8 6.5 6-month trend: rising stable falling Prime rent: The top rent represents the median of the uppermost price segment, with a market share of 3 % of the total letting take-up (excluding owner-occupiers), during the last 12 months. Munich 33.30 36.00 3.3 3.8 Freiburg 14.00 14.20 6.5 6.7 15.00 5.0 5.8 Konstanz 2017 A-location B-location C-location D-location * bp = basis point Ø prime rent 28.50 14.58 12.51 10.25 €/m2 €/m2 €/m2 €/m2 ∆ 2016/2017 +4.4 +5.3 +1.3 +2.7 % % % % Ø prime gross yield 3.67 5.46 6.34 7.02 % % % % Prime gross yield: The prime gross initial yield is the simple comparison of the contractual rent with the acquisition price excluding purchaser‘s costs. The prime gross initial yield corresponds to the multiplier normally used in the market. ∆ 2016/2017 -53 -36 -19 -14 bp* bp* bp* bp* As of 1st quarter 2017 Contact: [email protected] Source: Catella Research 2017 Yield/risk profile for office markets in 2017 Prime gross yield in % Prime gross yield in % 9.0 % Section overview: B-, C- D-locations 8.0 % Solingen 7.0 % 6.0 % 8.0 % Wilhelmshaven 5.0 % 4.0 % Weimar Frankfurt Cologne Berlin Munich 3.0 % Paderborn Hamburg Kaiserslautern Stuttgart 10 20 30 40 Dusseldorf 50 Marburg 60 70 Risk factor 80 7.0 % Jena Lübeck Gütersloh Osnabrück > 5 million m² � 2 million to 5 million m² < 2 million m² (further differentiation for C & D in terms of regional significance) } Leverkusen Fürth Krefeld Offenbach Siegen Gera Würzburg Magdeburg Cottbus Trier Aschaffenburg Hagen Schweinfurt Schwerin Bamberg Neuss Rostock Bielefeld Halle Konstanz Erfurt Aachen Braunschweig Salzgitter Ludwigshafen Koblenz Duisburg Hamm Potsdam Mönchengladbach Ingolstadt Mainz Bochum Darmstadt Ulm Karlsruhe Augsburg Kiel Regensburg Dortmund Kassel Ratingen Dresden Mannheim Essen Heilbronn Leipzig Heidelberg Wuppertal Saarbrücken Erlangen Office markets have been classified according to their size (existing stock). Category A = B = C = D = Chemnitz 6.0 % Wiesbaden 5.0 % Bonn Nuremberg Bremen Freiburg Münster Hanover Risk factor Methodology: Risk model Catella Research 2017, schematic presentation on the basis of a fully leased property in a new building/first-time lease, A-location category 45 50 55 60 65 70 75 As of 1st quarter 2017 Source: Catella Research 2017
© Copyright 2024 ExpyDoc