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(MPW)
Medical Properties Trust
All numbers in thousands
USD
INCOME STATEMENT
Revenues
Percent growth %
Revenues
COGS
As % revenues
COGS
Gross profit
Gross margin
SGA
As % revenues
SGA
Operating expenses
As % revenues
Operating expenses
EBITDA
EBITDA margin
Depreciation and Amort
As % prior net PPE
Depreciation and Amort
Interest income
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Surplus funds
Cash
Other
Interest income
Interest expense
Rate of Change+1Additional funds needed
ST notes
Long term debt
Interest expense
EBT
EBT Margin
Net income
Net margin
Income Aft er Interest Expense
Shares Outstanding(Weighted Average
Share Rate of Change+1
Dividends per commond share
Divden Growth Rate+1
Dividends
Payout ratio %
Dividends
Net to retained earnings
BALANCE SHEET
ASSETS
Cash
% of revenues
Cash
Interest rate %
Interest income
Accounts receivable
% of revenues
Accounts receivable
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Inventory(Real Estate Assets)
% of revenues
Days of COGS
Inventory(Real Estate Assets)
Gross PPECapex
% of revenues
Capex
Accmulated depreciation
Net PPE
Other assets
% of revenues
rate if change +1
Other assets
Total assets
LIABILITIES
Accounts payable
% of revenues
Days of COGS
Accounts payable
Long term debt
Long term debt
Interest rate %
Interest expense
Other long term liabilities
% of revenues
Other long term liabilities
Total liabilities
EQUITY
Common stock
Common stock
Retained earnings
as a % of Rev
Additional Paid in Capital
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Rate of Change +1
Net to retained earnings
Retained earnings
Capital Surplus
Treasury Stock
Retained EarningsTotal S-H equity
Total Liabilities + SH equity
Total Assets
Pluggable
Pluggable as a % of assets
Graphical Displays
Data;
Original;INCOME STATEMENT
Revenues
Percent growth %
Revenues
Dynamic;Modified Revenue
Revenues
Percent growth %
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Revenues
F9 Recalculates
Randomized Multiplier
Moderate Fluctuations
Year
Modified Proj. Past 2013
X Axis = Years
2010 = Year 1
Y Axis = Revenues
USD
Acute Fluctuations
Year
Modified Proj. Past 2013
X Axis = Years
2010 = Year 1
Y Axis = RevenuesUSD
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Piano accompaniment
Roughly Based On: Building Financial Models by John Tjia
Model By David Stafford of port fo l io-sm ith.com/seekingalpha.com "ins tablogger"/author
Graphs by same author
December 31 2010 December 31 2011
108024.00 135484.00
0.25
108024.00 135484.00
4381.00 738.00
0.04 0.01
4381.00 738.00
103643.00 134746.00
0.96 0.99
26509.00 27219.00
0.25 0.20
26509.00 27219.00
34923.00 35080.00
0.32 0.26
34923.00 35080.00
42211.00 72447.00
0.39 0.53
24000.00 33000.00
na 0.03
24000.00 33000.00
2.00 0.00
https://www.youtube.com/watch?v=qLPUd2q3R44https://www.youtube.com/watch?v=qLPUd2q3R448/13/2019 1 sheet MPW Feb 2014
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98000.00 103000.00
0.00 0.00
2.00 0.00
34000.00 44000.00
1.23
369970.00 689849.00
34000.00 44000.00
44720.00 66666.00
0.41 0.49
44720.00 66666.00
0.41 0.49
10720.00 22666.00
101000.00 111000.00
1.09
0.80 0.80
80800.00 88800.00
1.81 1.33
80800.00 88800.00
(70080.00) (66134.00)
December 31 2010 December 31 2011
98000.00 103000.00
0.91 0.76
98000.00 103000.00
1445000.00 1707000.00
13.38 12.60
1445000.00 1707000.00
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1197000.00 1222000.00
11.08 9.02
99727.23 604376.69
1197000.00 1222000.00
1197000.00 1222000.00 1000.00
0.01
1000.00
76000.00 104000.00
1121000.00 1118000.00
74000.00 284000.00
0.69 2.10
1.67
74000.00 284000.00
1269000.00 1686000.00
35974.00 51125.00
0.33 0.38
2997.15 25285.40
35974.00 51125.00
369970.00 689849.00
369970.00 689849.00
0.09 0.06
34000.00 44000.00
23000.00 23000.00
0.21 0.17
23000.00 23000.00
428944.00 763974.00
101000.00 111000.00
101000.00 111000.00
(149000.00) (214000.00)
(1.38) (1.58)
1052.00 1055.00
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1.00
(149000.00) (214000.00)
840056.00 922026.00
(262.00) (262.00)
(149000.00) (214000.00)690794.00 707764.00
1119738.00 1471738.00
1269000.00 1686000.00
149262.00 214262.00
0.12 0.13
December 31 2010 December 31 2011
108024.00 135484.00
0.25
108024.00 135484.00
December 31 2010 December 31 2011
108024.00 135484.00
0.25
Conclusion; Pluggable discrepancy
projected time periods(2013+),(
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108024.00 135484.00
December 31 2010 December 31 2011
108024.00 135484.00
December 31 2010 December 31 2011
108024.00 135484.00
0.00
100000.00
200000.00
300000.00
400000.00
500000.00
600000.00
700000.00
0 1 2 3
D
0.00
100000.00
200000.00
300000.00
400000.00
500000.00
600000.00
0 1 2 3
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Sources;
Source for 2013 Data Source for up to 2012 Data
Proj Proj
December 31 2012 December 31 2013 December 31 2014 December 31 2015
201397.00 242524.00 292049.49 376522.20
0.49 0.20 0.29 0.29
201397.00 242524.00 292049.49 376522.20
1495.00 1800.29 5201.02 6705.37
0.01 0.02 0.02 0.02
1495.00 1800.29 5201.02 6705.37
199902.00 240723.71 286848.47 369816.83
0.99 0.99 0.98 0.98
28582.00 30063.00 36202.12 46673.26
0.14 0.12 0.12 0.12
28582.00 30063.00 36202.12 46673.26
38965.00 59000.00 71048.31 91598.40
0.19 0.24 0.24 0.24
38965.00 59000.00 71048.31 91598.40
132355.00 151660.71 179598.04 231545.17
0.66 0.63 0.61 0.61
34000.00 33604.65 50595.01 71155.37
0.03 0.03 0.03 0.03
34000.00 33604.65 50595.01 71155.37
0.00 0.00 0.00 0.00
http://www.4-traders.com/MEDICAL-PROPERTIES-TRUST-13603/news/Medical-Properties-Trust-Inc--Reports-Outstanding-2013-Results-17908603/http://finance.yahoo.com/q/cf?s=MPW+Cash+Flow&annualhttp://finance.yahoo.com/q/cf?s=MPW+Cash+Flow&annualhttp://www.4-traders.com/MEDICAL-PROPERTIES-TRUST-13603/news/Medical-Properties-Trust-Inc--Reports-Outstanding-2013-Results-17908603/8/13/2019 1 sheet MPW Feb 2014
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37000.00 45000.00 45000.00 45000.00
0.00 0.00 0.00 0.00
0.00 0.00 0.00 0.00
58000.00 63000.00 74508.36 87919.86
1.24 1.08 1.18 1.18
1025160.00 1421680.00 1681381.66 1984030.36
58000.00 63000.00 74508.36 87919.86
126937.00 148119.06 165205.15 207063.06
0.63 0.61 0.57 0.55
126937.00 148119.06 165205.15 207063.06
0.63 0.61 0.57 0.55
68937.00 85119.06 90696.79 119143.20
132000.00 151000.00 169875.44 191110.37
1.16 1.13 1.13 1.13
0.80 0.81 0.85 0.89
1.05 1.05
105600.00 122310.00 144479.06 170666.34
0.83 1.32 1.32 1.32
105600.00 122310.00 144479.06 170666.34
(36663.00) (37190.94) (53782.28) (51523.14)
Proj Proj
December 31 2012 December 31 2013 December 31 2014 December 31 2015
37000.00 45000.00 61666.67 47888.89
0.18 0.19 0.21 0.13
37000.00 45000.00 61666.67 47888.89
0.03 0.03 0.03
1230.00 1600.00 1643.33
1594000.00 2739765.05 3299248.64 4253526.90
7.91 11.30 11.30 11.30
1594000.00 1594000.00 1594000.00 1594000.00
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1228000.00 1823683.00 2550350.94 3288017.21
6.10 8.73 8.73 8.73
299812.71 334638.88 334638.88 334638.88
1228000.00 1823683.00 2550350.94 3288017.21
1228000.00 1823683.00 2550350.94 3288017.21(27000.00) 561683.00 693063.29 687071.26
(0.13) (0.06) (0.06) (0.09)
(27000.00) (15361.79) (18498.80) (32725.58)
123000.00 160000.00 210595.01 281750.38
1105000.00 1663683.00 2339755.93 3006266.83
906000.00 1148000.00 1382431.48 1130823.33
4.50 4.73 3.00 3.00
1.53 1.05 1.42 1.33
906000.00 1148000.00 1382431.48 1130823.33
2917000.00 3959683.00 5104618.88 5267913.49
65961.00 94311.00 104171.10 134301.66
0.33 0.39 0.36 0.36
16104.19 19121.07 7310.57 7310.57
65961.00 94311.00 104171.10 134301.66
1025160.00 1421680.00 1681381.66 1984030.36
1025160.00 1421680.00 1681381.66 1984030.36
0.06 0.07 0.07 0.07
58000.00 86560.21 109774.92 129668.81
21000.00 22333.33 22111.11 21814.81
0.10 0.09 0.08 0.06
21000.00 22333.33 22111.11 21814.81
1112121.00 1538324.33 1807663.87 2140146.83
132000.00 151000.00 169875.44 191110.37
132000.00 151000.00 169875.44 191110.37
(233000.00) (122071.89) (167171.86) (217228.39)
(1.16) (1.37) (1.37) (1.30)
1096.00 1421.25 2303.78 4667.89
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1.04 1.30 1.62 2.03
(233000.00) (122071.89) (167171.86) (217228.39)
1804879.00 2421358.67 3296955.01 3127766.66
(262.00) (262.00) (262.00) (262.00)
(233000.00) (122071.89) (167171.86) (217228.39)1571617.00 2299024.78 3129521.15 2910276.27
2683738.00 3837349.11 4937185.02 5050423.11
2917000.00 3959683.00 5104618.88 5267913.49
233262.00 122333.89 167433.86 217490.39
0.08 0.03 0.03 0.04
December 31 2012 December 31 2013 December 31 2014 December 31 2015
201397.00 242524.00 292049.49 376522.20
0.49 0.20 0.29 0.29
201397.00 242524.00 292049.49 376522.20
December 31 2012 December 31 2013 December 31 2014 December 31 2015
201397.00 242524.00 292049.49 376522.20
0.49 0.20 0.29 0.29
does not have statistically significant effect on
5).
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General Notes
May be relatively simplified in regards to regular REIT Modeling per se
May be useful in diagnosing general trends concerning the entities capital per se.
May be helpful none-the less as a model to be "tweeked" to one's taste per se.
Income after interest expense may be more pertinent than for a normal company per seCombination of several sources, thoroughly explained in notes/individual cell comments
A few one time annual charges may be absent
May include some items not so pertinent to an entity like MPW
Volatility may be represented as quite simply volatility, as opposed to intention based volatility per se
Dynamic Revenue Graphs at bottom of sheet
May not take into account full kurtosis/skewness of volatility per se of MPW's investment activities
*Note Slight discrepancy between 2012- and 2013 Data Sources
Proj Proj
December 31 2016 December 31 2017 Morningstar on MPW
485427.89 625833.58 Source for logo
0.29 0.29
485427.89 625833.58
Google Finance Source
8644.84 11145.28
0.02 0.02 MPW Webpage for 2013 Data
8644.84 11145.28
476783.05 614688.29
0.98 0.98
60173.09 77577.62
0.12 0.12
60173.09 77577.62
118092.42 152249.60
0.24 0.24
118092.42 152249.60
298517.54 384861.08
0.61 0.61
91424.93 117566.76
0.03 0.03
91424.93 117566.76
0.00 0.00
http://financials.morningstar.com/ratios/r.html?t=MPWhttp://www.dividend.com/blog/wp-content/uploads/storypics/medical-properties-trust.pnghttps://www.google.com/finance?q=NYSE%3AMPW&fstype=ii&ei=COX0UvjpI8PcsQf7vgEhttp://phx.corporate-ir.net/phoenix.zhtml?c=185765&p=irol-newsArticle&ID=1897670&highlight=http://phx.corporate-ir.net/phoenix.zhtml?c=185765&p=irol-newsArticle&ID=1897670&highlight=https://www.google.com/finance?q=NYSE%3AMPW&fstype=ii&ei=COX0UvjpI8PcsQf7vgEhttp://www.dividend.com/blog/wp-content/uploads/storypics/medical-properties-trust.pnghttp://financials.morningstar.com/ratios/r.html?t=MPW8/13/2019 1 sheet MPW Feb 2014
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45000.00 45000.00
0.00 0.00
0.00 0.00
103745.44 122419.62
1.18 1.18
2341155.82 2762563.87
103745.44 122419.62
267265.70 344871.94
0.55 0.55
267265.70 344871.94
0.55 0.55
163520.26 222452.32
214999.73 241875.33
1.13 1.13
0.94 0.98
1.05 1.05
201600.14 238140.79
1.32 1.32
201600.14 238140.79
(38079.88) (15688.46)
Proj Proj
December 31 2016 December 31 2017
51518.52 53691.36
0.11 0.09
51518.52 53691.36
0.03 0.03
1491.11 1578.15
5483821.63 7069968.15
11.30 11.30
1594000.00 1594000.00
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4239046.87 5465153.39
8.73 8.73
334638.88 334638.88
4239046.87 5465153.39
4239046.87 5465153.39879874.30 1134681.59
(0.07) (0.07)
(34562.14) (46198.21)
373175.31 490742.07
3865871.56 4974411.32
1457903.90 1879589.60 Amalgamation of several different data sources data
3.00 3.00
1.27 1.34
1457903.90 1879589.60
6781679.36 8733590.53
173147.22 223228.51
0.36 0.36
7310.57 7310.57
173147.22 223228.51
2341155.82 2762563.87
2341155.82 2762563.87
0.07 0.07
153009.19 180550.85
22086.42 22004.12
0.05 0.04
22086.42 22004.12
2536389.46 3007796.49
214999.73 241875.33
214999.73 241875.33
(292592.68) (391666.65)
(1.35) (1.34)
11822.53 37429.18
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485427.89 625833.58
0.80 0.92
December 31 2016 December 31 2017
388342.31 575766.89
0.75 0.88
December 31 2016 December 31 2017
364070.91 550733.55
9
Dynamic Revenues
9
Dynamic Revenues(Acute)
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Item # Effector
1 95 Multiplier as a %
2 91 1 2 3 4
3 80 0.95 0.91 0.8 0.92
4 92
*Multiplier Range; 65-95
Item # Effector
5 46 Multiplier as a %
6 60 5 6 7 8
7 75 0.46 0.6 0.75 0.88
8 88