Pfa Pension, Forsikringsaktieselskab

Period

Q4 2025

Portfolio Date

31 Dec 2025

Stocks Held

372

Market Value

$35.2B

Portfolio Analysis

AI

#### I. Institutional Overview The 13F filing for the fourth quarter of 2025 reveals a sophisticated and highly structured investment posture by **Pfa Pension, Forsikringsaktieselskab** (hereinafter referred to as "PFA Pension"). As one of Denmark's largest commercial pension companies, PFA Pension manages the retirement savings of more than a million individuals, a responsibility that necessitates a balance between long-term capital preservation and the pursuit of robust growth in global equity markets. With a reported portfolio value of approximately **$35.25 billion** as of December 31, 2025, the institution stands as a significant "smart money" player on the international stage, particularly within the U.S. equity markets. The scale of PFA Pension’s operations is reflected not just in its total Assets Under Management (AUM) but in the breadth and depth of its holdings. Reporting **372 distinct stocks**, the institution demonstrates a "diversified conviction" model. While 372 holdings might suggest a broad indexing approach at first glance, a closer examination of the concentration in the top 10 and top 20 holdings reveals a deliberate strategy of placing massive bets on "best-of-breed" global leaders. This approach allows the fund to capture the beta of the broader market while seeking significant alpha from the technological and structural shifts currently reshaping the global economy. Analyzing the scale trend, the $35.25 billion portfolio represents a formidable presence. For a pension fund, the stability of this scale is paramount. The current reporting period suggests a period of significant portfolio construction or rebalancing. The data indicates a heavy leaning toward the "Magnificent Seven" and other high-growth technology and healthcare giants, suggesting that PFA Pension is positioning itself to benefit from the "Fourth Industrial Revolution"—specifically the integration of Artificial Intelligence (AI), cloud computing, and advanced biotechnology into the global economic fabric. The institutional "psychological portrait" that emerges from this filing is one of **calculated optimism**. Unlike more conservative pension funds that might over-weight defensive utilities or consumer staples, PFA Pension shows a clear appetite for growth. However, this is not speculative growth; it is growth anchored in companies with massive cash flows, dominant market shares, and clear competitive moats (High-Quality Growth). The concentration in Technology (35.51%) and Financials (14.27%) suggests a "barbell" strategy: capturing the explosive upside of digital transformation while maintaining a solid foundation in the traditional engines of credit and capital markets. Furthermore, the holding style—characterized by 372 stocks—indicates a sophisticated risk management framework. By spreading the remaining 40-50% of the portfolio across hundreds of mid-to-large cap names outside the core top 20, PFA Pension effectively mitigates idiosyncratic risk. This ensures that while a downturn in a single sector like Technology would impact the fund, the overall portfolio remains resilient due to its exposure to Healthcare, Industrials, and Consumer Discretionary sectors. In summary, PFA Pension’s Q4 2025 report paints a picture of a **modern, growth-oriented institutional giant**. It is an institution that has moved beyond the traditional, stodgy pension model of the 20th century and has fully embraced the volatility and opportunity of the 21st-century digital economy. Its massive scale provides the liquidity necessary to enter and exit significant positions, while its diversified structure provides the safety net required by its million-plus stakeholders. The institution is currently in a "conviction phase," doubling down on the leaders of the AI era while maintaining a disciplined oversight of the broader macroeconomic landscape. #### II. Sector Allocation Analysis The sector allocation of PFA Pension provides a panoramic view of its macro-economic outlook and its strategic "track selection." By analyzing where the institution has concentrated its $35.25 billion, we can infer its judgments on interest rates, technological cycles, and consumer resilience. | Sector | Weight (%) | Trend/Status | | :--- | :--- | :--- | | Technology | 35.51 | Dominant Core | | Financials | 14.27 | Secondary Anchor | | Communication Services | 11.27 | Growth Pillar | | Consumer Discretionary | 10.67 | Cyclical Exposure | | Healthcare | 9.71 | Defensive Growth | | Industrials | 7.82 | Moderate | | Consumer Staples | 3.89 | Underweight | | Materials | 2.77 | Minimal | | Utilities | 1.85 | Minimal | | Real Estate | 1.62 | Minimal | | Others | 0.62 | Negligible | **2.1 Concentration and Macro Judgment** The most striking feature of PFA Pension’s allocation is the **extreme concentration in Technology (35.51%)**. When combined with Communication Services (11.27%)—which includes tech-adjacent giants like Alphabet and Meta—the fund’s "Digital Economy" exposure nears **47%**. This is a bold macro statement. It suggests that PFA Pension views technology not as a cyclical sector, but as the fundamental infrastructure of the modern world. The top three sectors (Technology, Financials, and Communication Services) account for **61.05%** of the total portfolio. This level of concentration indicates a "High Conviction" philosophy, where the fund is willing to deviate significantly from a perfectly equal-weighted index to capture the outsized returns of the tech and financial leaders. **2.2 The Technology Powerhouse: Pursuing the AI Alpha** The 35.51% weight in Technology is the engine of the portfolio. This allocation is likely driven by the belief that we are in the early-to-middle stages of a multi-decade AI investment cycle. By holding massive positions in NVIDIA, Microsoft, and Apple, PFA Pension is betting on the "triad of AI": hardware (NVIDIA), software/enterprise integration (Microsoft), and consumer-facing AI ecosystems (Apple). This sector choice reflects a judgment that despite high valuations, the earnings growth potential of these companies justifies the risk. It also suggests a move away from "Hard Tech" (traditional manufacturing) toward "Intelligent Tech" (semiconductors and cloud services). **2.3 Financials as the Portfolio Stabilizer** With a 14.27% allocation to Financials, PFA Pension maintains a significant stake in the "old economy" to balance its tech-heavy growth bets. This sector is highly sensitive to interest rate environments and economic health. The inclusion of heavyweights like JPMorgan Chase and Berkshire Hathaway suggests that PFA Pension is positioning for a "higher-for-longer" or "stabilizing" interest rate environment, where large banks can maintain healthy net interest margins while benefiting from a resilient U.S. economy. This sector acts as a "ballast," providing dividends and lower volatility compared to the high-beta technology names. **2.4 Communication Services and Consumer Discretionary: The Modern Consumer** The combined ~22% in Communication Services and Consumer Discretionary (Amazon, Tesla, Meta, Alphabet) highlights a focus on **platform dominance**. PFA Pension is not just betting on products, but on ecosystems that capture consumer time and data. The high weight in these sectors suggests an optimistic view of the U.S. consumer's spending power and the continued shift of advertising dollars from traditional media to digital platforms. It reflects a belief that the "network effect" of these companies creates a barrier to entry that is almost insurmountable for competitors. **2.5 Defensive and Cyclical Laggards** The relatively low weights in Consumer Staples (3.89%), Utilities (1.85%), and Real Estate (1.62%) are telling. PFA Pension is clearly **underweighting defensive and interest-rate-sensitive sectors**. In a period of high growth and technological disruption, the fund appears to find the "bond-proxy" nature of Utilities and the slow growth of Staples unattractive. The minimal exposure to Real Estate may reflect concerns about the structural shifts in commercial property or simply a preference for the higher liquidity and growth found in the equity markets. **2.6 Industry Trend Insights: From Hardware to Applications** A deep dive into the sub-sectors suggests a transition. While semiconductors (NVIDIA, Broadcom) remain the foundation, the significant weights in Microsoft and Alphabet indicate a move toward the **application layer of AI**. PFA Pension is positioning itself to benefit from the phase where companies begin to monetize the massive AI infrastructure built over the last few years. This is a sophisticated rotation—moving from the "picks and shovels" (hardware) to the "gold miners" (software and services). **2.7 Macroeconomic Inference** Based on this allocation, we can infer that PFA Pension’s investment committee views the current macro environment as one of **resilient growth with manageable inflation**. If they feared a deep recess ---

All Holdings

1
NVDA

$NVDA

7.48%

2
AAPL

$AAPL

6.69%

3
MSFT

$MSFT

5.72%

4
AMZN

$AMZN

3.52%

5
GOOGL

$GOOGL

3.11%

6
AVGO

$AVGO

2.62%

7
GOOG

$GOOG

2.47%

8
META

$META

2.31%

9
TSLA

$TSLA

2.12%

10
LLY

$LLY

1.41%

11
JPM

$JPM

1.35%

12
BRK.B

$BRK.B

1%

13
V

$V

0.98%

14
JNJ

$JNJ

0.87%

15
MA

$MA

0.82%

16
WMT

$WMT

0.8%

17
ABBV

$ABBV

0.69%

18
NFLX

$NFLX

0.63%

19
PLTR

$PLTR

0.63%

20
CSCO

$CSCO

0.62%

21
AMD

$AMD

0.61%

22
BAC

$BAC

0.61%

23
COST

$COST

0.61%

24
GE

$GE

0.58%

25
PG

$PG

0.58%

26
MU

$MU

0.52%

27
ORCL

$ORCL

0.52%

28
KO

$KO

0.51%

29
IBM

$IBM

0.5%

30
WFC

$WFC

0.49%

31
LRCX

$LRCX

0.49%

32
HD

$HD

0.49%

33
LIN

$LIN

0.48%

34
GS

$GS

0.48%

35
AXP

$AXP

0.47%

36
MRK

$MRK

0.46%

37
UNH

$UNH

0.45%

38
DIS

$DIS

0.45%

39
CRM

$CRM

0.42%

40
C

$C

0.4%

41
ADP

$ADP

0.4%

42
MCD

$MCD

0.39%

43
COF

$COF

0.37%

44
TMO

$TMO

0.37%

45
SPGI

$SPGI

0.36%

46
T

$T

0.36%

47
QCOM

$QCOM

0.35%

48
PNC

$PNC

0.35%

49
AMAT

$AMAT

0.34%

50
EXC

$EXC

0.34%

51
KLAC

$KLAC

0.34%

52
BKR

$BKR

0.34%

53
PEP

$PEP

0.34%

54
VZ

$VZ

0.34%

55
ABT

$ABT

0.33%

56
MS

$MS

0.33%

57
ED

$ED

0.32%

58
ECL

$ECL

0.32%

59
ACN

$ACN

0.32%

60
AMGN

$AMGN

0.32%

61
SCHW

$SCHW

0.32%

62
ISRG

$ISRG

0.31%

63
HLT

$HLT

0.31%

64
ATO

$ATO

0.31%

65
UNP

$UNP

0.3%

66
BKNG

$BKNG

0.3%

67
NEE

$NEE

0.3%

68
INTU

$INTU

0.3%

69
TJX

$TJX

0.3%

70
PH

$PH

0.3%

71
WM

$WM

0.29%

72
PGR

$PGR

0.29%

73
GILD

$GILD

0.29%

74
NI

$NI

0.29%

75
APP

$APP

0.28%

76
CMCSA

$CMCSA

0.28%

77
NEM

$NEM

0.28%

78
ETN

$ETN

0.28%

79
PLD

$PLD

0.28%

80
HAL

$HAL

0.28%

81
GEV

$GEV

0.28%

82
CMI

$CMI

0.27%

83
UBER

$UBER

0.27%

84
INTC

$INTC

0.27%

85
BK

$BK

0.27%

86
SYK

$SYK

0.27%

87
HON

$HON

0.26%

88
GM

$GM

0.26%

89
BLK

$BLK

0.26%

90
NOW

$NOW

0.26%

91
TDG

$TDG

0.26%

92
APH

$APH

0.25%

93
BAP

$BAP

0.25%

94
BA

$BA

0.25%

95
BSX

$BSX

0.25%

96
VICI

$VICI

0.25%

97
MDT

$MDT

0.25%

98
MCO

$MCO

0.25%

99
HWM

$HWM

0.24%

100
CTSH

$CTSH

0.24%

101
SYF

$SYF

0.24%

102
ADBE

$ADBE

0.24%

103
TXN

$TXN

0.24%

104
BMY

$BMY

0.24%

105
WAB

$WAB

0.24%

106
ADI

$ADI

0.23%

107
RSG

$RSG

0.23%

108
MET

$MET

0.23%

109
ANET

$ANET

0.23%

110
ICE

$ICE

0.23%

111
CTVA

$CTVA

0.22%

112
PFE

$PFE

0.22%

113
LOW

$LOW

0.22%

114
PAYX

$PAYX

0.22%

115
CTAS

$CTAS

0.21%

116
TRV

$TRV

0.21%

117
PKG

$PKG

0.21%

118
DE

$DE

0.21%

119
TMUS

$TMUS

0.21%

120
ALL

$ALL

0.21%

121
CME

$CME

0.21%

122
MMC

$MMC

0.21%

123
AMP

$AMP

0.2%

124
REGN

$REGN

0.2%

125
CB

$CB

0.2%

126
CBRE

$CBRE

0.2%

127
SNA

$SNA

0.2%

128
MCK

$MCK

0.2%

129
DHR

$DHR

0.2%

130
EQIX

$EQIX

0.2%

131
TT

$TT

0.19%

132
PANW

$PANW

0.19%

133
MDLZ

$MDLZ

0.19%

134
ACM

$ACM

0.19%

135
FOXA

$FOXA

0.19%

136
NTRS

$NTRS

0.19%

137
FDX

$FDX

0.19%

138
PPG

$PPG

0.19%

139
EXPD

$EXPD

0.19%

140
ADSK

$ADSK

0.19%

141
HUBB

$HUBB

0.19%

142
ELV

$ELV

0.19%

143
FERG

$FERG

0.19%

144
WRB

$WRB

0.19%

145
MMM

$MMM

0.18%

146
MELI

$MELI

0.18%

147
RJF

$RJF

0.18%

148
CRWD

$CRWD

0.18%

149
SHW

$SHW

0.18%

150
NLY

$NLY

0.18%

151
BX

$BX

0.18%

152
EME

$EME

0.18%

153
HCA

$HCA

0.18%

154
PCAR

$PCAR

0.17%

155
VRTX

$VRTX

0.17%

156
RS

$RS

0.17%

157
TROW

$TROW

0.17%

158
PWR

$PWR

0.17%

159
CEG

$CEG

0.17%

160
URI

$URI

0.17%

161
SBUX

$SBUX

0.17%

162
FAST

$FAST

0.17%

163
COR

$COR

0.17%

164
CVS

$CVS

0.16%

165
ORLY

$ORLY

0.16%

166
ABNB

$ABNB

0.16%

167
REG

$REG

0.16%

168
AME

$AME

0.16%

169
CAH

$CAH

0.16%

170
RPM

$RPM

0.15%

171
OMC

$OMC

0.15%

172
SYY

$SYY

0.15%

173
RCL

$RCL

0.15%

174
CI

$CI

0.15%

175
SNPS

$SNPS

0.15%

176
AMT

$AMT

0.15%

177
UPS

$UPS

0.15%

178
PYPL

$PYPL

0.15%

179
ZTS

$ZTS

0.14%

180
SPOT

$SPOT

0.14%

181
WDC

$WDC

0.14%

182
EQH

$EQH

0.14%

183
OTIS

$OTIS

0.14%

184
KMB

$KMB

0.14%

185
TAP

$TAP

0.14%

186
NUE

$NUE

0.14%

187
DASH

$DASH

0.13%

188
YUM

$YUM

0.13%

189
EW

$EW

0.13%

190
CDNS

$CDNS

0.13%

191
BRO

$BRO

0.13%

192
RMD

$RMD

0.13%

193
FTNT

$FTNT

0.13%

194
NTAP

$NTAP

0.13%

195
TEL

$TEL

0.13%

196
RPRX

$RPRX

0.12%

197
GEHC

$GEHC

0.12%

198
NKE

$NKE

0.12%

199
SEIC

$SEIC

0.12%

200
WDAY

$WDAY

0.12%

201
HOOD

$HOOD

0.12%

202
EXPE

$EXPE

0.12%

203
GDDY

$GDDY

0.12%

204
LPLA

$LPLA

0.12%

205
KR

$KR

0.12%

206
PHM

$PHM

0.12%

207
APO

$APO

0.11%

208
MRVL

$MRVL

0.11%

209
TGT

$TGT

0.11%

210
FCX

$FCX

0.11%

211
EMN

$EMN

0.11%

212
STLD

$STLD

0.11%

213
JBL

$JBL

0.11%

214
DELL

$DELL

0.11%

215
SNOW

$SNOW

0.11%

216
CHRW

$CHRW

0.11%

217
EBAY

$EBAY

0.11%

218
MTD

$MTD

0.11%

219
ROK

$ROK

0.1%

220
WBD

$WBD

0.1%

221
FNF

$FNF

0.1%

222
AIZ

$AIZ

0.1%

223
XYZ

$XYZ

0.1%

224
PINS

$PINS

0.1%

225
VRSN

$VRSN

0.1%

226
ZM

$ZM

0.1%

227
IDXX

$IDXX

0.1%

228
CF

$CF

0.09%

229
DHI

$DHI

0.09%

230
CINF

$CINF

0.09%

231
VRT

$VRT

0.09%

232
TEAM

$TEAM

0.09%

233
HPQ

$HPQ

0.09%

234
CMG

$CMG

0.09%

235
FFIV

$FFIV

0.09%

236
BVN

$BVN

0.09%

237
NRG

$NRG

0.09%

238
DECK

$DECK

0.08%

239
NET

$NET

0.08%

240
MPWR

$MPWR

0.08%

241
SPG

$SPG

0.08%

242
ACGL

$ACGL

0.08%

243
COIN

$COIN

0.08%

244
WSM

$WSM

0.07%

245
SE

$SE

0.07%

246
CNC

$CNC

0.07%

247
F

$F

0.07%

248
BG

$BG

0.07%

249
CCL

$CCL

0.07%

250
DOV

$DOV

0.07%

251
ULTA

$ULTA

0.07%

252
STX

$STX

0.07%

253
CVNA

$CVNA

0.07%

254
DXCM

$DXCM

0.07%

255
AXON

$AXON

0.07%

256
GPN

$GPN

0.06%

257
DDOG

$DDOG

0.06%

258
FICO

$FICO

0.06%

259
MSCI

$MSCI

0.06%

260
TPR

$TPR

0.06%

261
FI

$FI

0.06%

262
ZBRA

$ZBRA

0.06%

263
NXPI

$NXPI

0.05%

264
TRMB

$TRMB

0.05%

265
SOFI

$SOFI

0.05%

266
KKR

$KKR

0.05%

267
FIX

$FIX

0.05%

268
MTB

$MTB

0.05%

269
IBKR

$IBKR

0.05%

270
FIS

$FIS

0.05%

271
TER

$TER

0.05%

272
ON

$ON

0.05%

273
TXT

$TXT

0.05%

274
HPE

$HPE

0.05%

275
 - CBOE GLOBAL MARKETS INC

$ - CBOE GLOBAL MARKETS INC

0.05%

276
KVUE

$KVUE

0.05%

277
CDW

$CDW

0.05%

278
IT

$IT

0.05%

279
FLEX

$FLEX

0.05%

280
DT

$DT

0.04%

281
EA

$EA

0.04%

282
HSY

$HSY

0.04%

283
MDB

$MDB

0.04%

284
TWLO

$TWLO

0.04%

285
Q

$Q

0.04%

286
DOCU

$DOCU

0.04%

287
LULU

$LULU

0.04%

288
ALNY

$ALNY

0.04%

289
CPAY

$CPAY

0.04%

290
GLW

$GLW

0.04%

291
DG

$DG

0.04%

292
HST

$HST

0.04%

293
FSLR

$FSLR

0.04%

294
TTD

$TTD

0.04%

295
RDDT

$RDDT

0.04%

296
AIG

$AIG

0.04%

297
MLM

$MLM

0.04%

298
CRDO

$CRDO

0.03%

299
AFG

$AFG

0.03%

300
LEN

$LEN

0.03%

301
VMC

$VMC

0.03%

302
HUBS

$HUBS

0.03%

303
PSTG

$PSTG

0.03%

304
MCHP

$MCHP

0.03%

305
PODD

$PODD

0.03%

306
LVS

$LVS

0.03%

307
APTV

$APTV

0.03%

308
VEEV

$VEEV

0.03%

309
DAL

$DAL

0.03%

310
H

$H

0.03%

311
DD

$DD

0.03%

312
PTC

$PTC

0.03%

313
SOLS

$SOLS

0.03%

314
HUM

$HUM

0.03%

315
INSM

$INSM

0.02%

316
HEI

$HEI

0.02%

317
PAYC

$PAYC

0.02%

318
AFRM

$AFRM

0.02%

319
AWK

$AWK

0.02%

320
FLUT

$FLUT

0.02%

321
KIM

$KIM

0.02%

322
LH

$LH

0.02%

323
WELL

$WELL

0.02%

324
AJG

$AJG

0.02%

325
JCI

$JCI

0.02%

326
AVB

$AVB

0.02%

327
WSO

$WSO

0.02%

328
GRAB

$GRAB

0.02%

329
GSK

$GSK

0.02%

330
NWSA

$NWSA

0.02%

331
LYB

$LYB

0.02%

332
WTW

$WTW

0.02%

333
IOT

$IOT

0.02%

334
CARR

$CARR

0.02%

335
ITW

$ITW

0.02%

336
IRM

$IRM

0.02%

337
MANH

$MANH

0.01%

338
TFX

$TFX

0.01%

339
CCI

$CCI

0.01%

340
GEN

$GEN

0.01%

341
ENS

$ENS

0.01%

342
EWBC

$EWBC

0.01%

343
BF.B

$BF.B

0.01%

344
CHTR

$CHTR

0.01%

345
FCNCA

$FCNCA

0.01%

346
ROST

$ROST

0.01%

347
EIX

$EIX

0.01%

348
LUMN

$LUMN

0.01%

349
ANF

$ANF

0.01%

350
AGX

$AGX

0.01%

351
GWW

$GWW

0.01%

352
EXEL

$EXEL

0.01%

353
THC

$THC

0.01%

354
PCG

$PCG

0.01%

355
MEDP

$MEDP

0.01%

356
INCY

$INCY

0.01%

357
AER

$AER

0.01%

358
UAL

$UAL

0.01%

359
HIG

$HIG

0.01%

360
ALLE

$ALLE

0.01%

361
IDCC

$IDCC

0.01%

362
DY

$DY

0.01%

363
CL

$CL

0.01%

364
CHWY

$CHWY

0.01%

365
DCI

$DCI

0.01%

366
RL

$RL

0.01%

367
BR

$BR

0.01%

368
DRI

$DRI

0.01%

369
DVA

$DVA

0%

370
BBY

$BBY

0%

371
FG

$FG

0%

372
DBD

$DBD

0%