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BUSINESS PLAN 'Cottage Village in Moscow Region' (with financial model)

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  • 91
  • Английский
  • 15.07.2014
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Adaptation of this business plan is possible for similar project around the world.

The financial model in the separate file which allows to build with ease the new financial plan by method of input of the relevant data is applied to this business plan.

Business Plan Description

Project Purpose

Development of cottage village on the land lot with area 25.62 ha, which is situated on the bank of Klyazminskoe reservoir within the administrative boundaries of *** village of Mytishchi district of Moscow region.

Characteristics of the land

  • Kind of rights: ownership, without encumbrances.
  • Land category: land of settlements.
  • Temporary permitted use: for individual housing.
  • Adjacent land lots: in the south – Klyazminskoe reservoir; in the west – Senkovo village; in the north – Novoseltsevo village; in the east – *** village.
  • Access road: to the border of land lots.
  • Electricity: dedicated power is 2МВА.
  • Sewage: Domestic Lifting Station (DLS) on the territory of «Novosel'skii mechanical plant».
  • Water supply: documents for license obtaining for water supply are handed over.
  • Gas supply: on the border of land lots.

Project Financial Indicators

Revenue

***

***

Gross profit

***

***

Net profit

***

***

Net  present value (NPV)

***

***

Quarterly internal rate of return (IRR quarterly)

***

Annual internal rate of return (IRR annual)

***

Project payback period

12 quarters

Project discounted payback period

13 quarters

 

Necessary investment: ***

Necessary investment excluding costs for land lot: ***

Excerpts from Research

Within the framework of research the price characteristics of households of organized suburban market are considered.  An average cost of 1 m2 of cottage in general by the analyzed market is about $***, of townhouse – $***.

In present moment the tendency of increased interest in finished or under construction cottages is observed. On the one hand, the buyers became more confident in their future. On the other hand they are bent on organization of the project including construction and infrastructure seeing that settlements without a contract are developed a few times slower than projects with a contract, etc. So ***% of clients are ready to buy the cottage which is situated at the Dmitrov highway in the local zone. The purchase of land lot is considered by ***% of company’s potential clients (against ***% a year ago).

The demand for townhouses and apartments is significantly less and amounts to ***% and ***% accordingly. But in such case it is necessary to take into account two factors: the local market does not abound with qualitative available supply in this segment and also that apartments and townhouses are the first step to suburban life, an interest to which are manifested by increasingly wider population with each passing year. 

The category of cottages for «final finishing» is leading in the structure of demand – ***%. Most of households buyers would like to develop a design of own house themselves. Each fifth potential buyer is ready to furnish his house himself and consider the variant of cottage purchase for «rough finishing». The minority of clients (***%) would like to buy a completely ready for leaving «turnkey» house.

***% of clients are interested in purchasing of a townhouse for «final finishing». Another 3% of potential purchasers are ready to buy the household of similar format with «turnkey» finishing. The less number of clients is interested in purchase of apartments. At that the majority prefers to buy the similar properties without finishing.

List of Tables, Figures and Diagrams

4

Executive Summary

6

1.0. Detailed Lot Analysis

8

1.1. Lot Description. Main Factors of Location

8

1.2. Description of Physical, Legal, Administrative, Technical and Technological Restrictions of Lot

12

2.0. Analysis of District Adjacent to Lot

13

2.1. Basic Information of Economic State of District

13

2.2. Industry

13

2.3. Construction

16

2.4. Trade and Services Sector

17

2.5. Small Entrepreneurship

18

2.6. Consumer Market

19

2.7. Agriculture

19

2.8. Investment Policy of Moscow Region

20

2.9. Prospects of Development

24

3.0. Analysis of District Market Situation

29

3.1. Supply Structure by Price

29

3.2. Analysis of Demand Structure of Local Market

29

3.3. Market Potential. Divergence in Structure of Demand and Supply

37

4.0. Sales

39

4.1. Plan of Sales

39

4.2. Positioning of Housing under Construction and Target Audience

41

4.3. Methods of Sales Promotion

41

4.4. Advertising Policy and PR-Events Program

42

4.5. Budget of Advertising Campaign

47

5.0. Architectural and Construction Concept

50

5.1. Amount, Footage of Houses/Townhouses and Area of Lots

50

5.2. Infrastructure, Beautification, Providing of Security

62

6.0. Conclusion on the Best Lot Use

80

6.1. SWOT-Analysis of Project, Strong and Weak Lot Sides

80

6.2. Estimation of Previous Cost by Project

82

6.3. Financial Result by Project

85

6.4. Project Risks Analysis

87

6.5. General Conclusions

89

INFORMATION ABOUT THE «VTSConsulting» COMPANY

91

TABLES

Table 1. Inflow of Foreign Investments by Types

21

Table 2. Foreign Investments by Kinds of Economic Activity

22

Table 3. Inflow of Foreign Investments in Moscow Region in 2012 by Municipal Districts/City Districts, (First Ten)

23

Table 4. Plan of Objects Sales for 2015-2017

39

Table 5. Plan of Objects Sales for 2018-2020

40

Table 6. Project Media Plan (year 1)

48

Table 7. Project Media Plan (year 2)

48

Table 8. Cottages by Area of  150 sq. m

51

Table 9. Cottages by Area of  250 sq. m

51

Table 10. Cottages by Area of  350 sq. m

51

Table 11. Cottages by Area of  400 sq. m

52

Table 12. Cottages by Area of  500 sq. m

52

Table 13. Ratio of Households on Lot by Types

54

Table 14. Costs for Construction of Necessary

63

Table 15. Calendar Plan of Project Implementation

65

Table 16. SWOT-Analysis of Lot

80

Table 17. Project Costs for 2015-2017

82

Table 18. Project Costs for 2018-2020

83

Table 19. Financial Result Projection for 2015-2016

85

Table 20. Financial Result Projection for 2017-2018

85

Table 21. Financial Result Projection for 2018-2020

86

Table 22. Project Risks Analysis

87

Table 23. General Financial Results and Indicators

89

FIGURES

Figure 1. Land of Client (Foreshortening 1)

8

Figure 2. Land of Client (Foreshortening 2)

8

Figure 3. Photos of Lot (Foreshortening 1)

10

Figure 4. Photos of Lot (Foreshortening 2)

10

Figure 5. Photos of Lot (Foreshortening 3)

11

Figure 6. Styles of Low-Rise Buildings, Represented on Market of Moscow Region

53

Figure 7. Constructions of Objects by EuroBau Technology

56

Figure 8. Example of Cottage Layout with Area of  150 sq. m

57

Figure 9. Example of Cottage Layout with Area of  250 sq. m

58

Figure 10. Example of Cottage Layout with Area of  500 sq. m

58

Figure 11. Examples of  Appearance of Cottages with Area of 500 sq. m

59

Figure 12. Examples of Cottages Interior

60

Figure 13. Variations of Arbors for Project Territory

67

Figure 14. Variants of Arches for Territory Decorating

68

Figure 15. Variants of Street Furniture for Territory of Cottage Village

68

Figure 16. Variants of Bridge Constrictions for Project Territory Decorating

69

Figure 17. Enclosures on Cottage Village Territory

72

Figure 18. Enclosures on Cottage Village Territory (Variant 2)

72

Figure 19. Brick Enclosures as Variant of Use on Lot of Development

73

Figure 20. Wooden Enclosures Used for Decorating of Lots Territory

74

Figure 21. Variations of Sidewalks and Paths for Landscape of Cottage Village

76

Figure 22. Children Playgrounds on Territory of Lot Development

77

DIAGRAMS

Diagram 1. Demand Structure by Distance from Moscow Ring Road (MRR), %

30

Diagram 2. Demand Structure by Depending on Type of Constructions, %

31

Diagram 3. Demand Structure by Presence of Premises Furnish, %

32

Diagram 4. Demand Structure by Depending on Cost of 1 sq. m of House Area, %

33

Diagram 5. Demand Structure by Depending on Cost of House, %

34

Diagram 6. Demand Structure by Depending on Size of Land Lot, %

35

Diagram 7. Demand Structure by Depending on Area of Households, %

36