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efta-01367348DOJ Data Set 10OtherEFTA01367348
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DOJ Data Set 10
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efta-01367348
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31 May 2015
Integrated Oil
US Integrated Oils
Figure 48: Scorecards (Defy!
• -,!93
Councei
Net Debt=
ace
3
elnigailtalaill
1112O
9
4
DVN
1
9
PXD
4
2
143C
7
11
10
Div Yield F CF Yield EVIDACF
CFMAS
CAGR Liquids towage Delimoly• 0NBounc•
21
3
11
7
20
30
4
4
.
6
24
26
8
8
3
27,
6
32
21
11
7
11
34
A
9
5
38
NR0
9
2
act
HES
MUR
It
6
8
Div Yreld FCF Yield EVA)ACF
CF/DAS
Nadia CAGR Uqukhleyetage Washy 01113omme
-1
7
11
2
3
22
33
17
1
21
5
10
32
21
21
3
30
25
75
6
4
9
24
26
6
It
20
!U
San. O..
Mt Morn Onintot ewe Ix atone' I Se Ow ears:ton f nue weinere of me folovongnints1040.00,1, Nee OrbefiC Ore •edo. iCf USA IV/04Cf. C1/04.0 .,w the Waft tang.
••••Iv 014110110PISII•111V. a *le Me Mewl 00 Oxen wow **awl bad c.warm-. Inislogrebrip) of Ow icdonng ams tiVtMCP. Pron.:or GG LW.
Immo
We
repreter net canyon of A/NUS (00 AU
11C4 nano? 01064 cow welthwe• ;ratan EWOACP. ICI Mt Net 0tatITC al bean art 20741 /001 Prollaa, CAC. tar/ ov 2013-2077
honey p-oxY1
On a 2017 EV/DACF (APC and DVN, ex-MLP value) vs CF/DAS growth (2015-
2017, ex hedging) basis, we find that MRO and COP look particularly cheap,
with most of the other names hovering in the expected relative value territories.
Figure 49: CF/DAS growth (ex hedging) vs. 2016
EV/DACF multiple
et
Figure 50: CF/DAS growth (ex hedging) vs, 20(7
EV/DACF multiple
120x
100x
,.,,,,, , A rrOG
ka 100x I
cc" 8.0x
e
e
G
01
• „pc •
g
•
A Ox i
r, 6 Ox
14ES
Cl
5a 1
Ar*
MRO
4 Ox 1
...-
4 ox
gal
15 OD%
2000%
2500%
3000%
X00%
40.03%
4500%
50 OD%
CF (ex hedgesyDAS Growth (1 5-1 7)
Sant dumbt int Noel CroseaSeceriMesoWeremaim becigfrq
APC
A
Myymy 4, • KS.
• Net
OX
•
OY COP
•
MRO
2.0x
1600%
20.00%
2600%
3000% 3i 00%
40.00%
4600%
6000%
CF (ex lie<1901)/DAS Growth (' 16:17)
Sant DeursaWilmt Nat Crosfixlessi strOx atinact awn Ivey
We also take a look at the ratio of forecasted exit 2015 outspend (4Q15
annualized, both excluding and including dividend obligations) relative to their
2015-2017
production
CAGR
(with
outspend/growth
as
the
numerator/denominator, the lower the ratio, the better). While using 4Q15
outspend levels as a rough proxy for medium-term outspend has its drawbacks
(also not accounting for players with high DUC counts), we believe that in a
relatively defensive oil price-minded world, this may be a ratio to consider.
Page 30
Deutsche Bank Securities Inc.
CONFIDENTIAL - PURSUANT TO FED. R. CRIM. P. 6(e)
CONFIDENTIAL
SDNY_GM_00205065
DB-SDNY-0058881
EFTA01367348
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