American Renaissance model basket

Power Equipment Makers

Turbines, generators, fuel cells, flow control -- the hard-goods cohort into the grid rebuild.

What is the thesis for Power Equipment Makers?

A book of US-listed power-equipment and flow-control manufacturers positioned into data-center load growth, grid reconductoring, and industrial electrification. The cohort has already rerated on order-book visibility, but the consensus view still prices the backlog as cyclical rather than structural.

This is a curated QuantLink model basket. It is not a filed portfolio, not a fund, and not investment advice.

Published Apr 14, 2026. Updated Apr 14, 2026. Source: QuantLink curated model basket and FastAPI ideas endpoint.

Holdings
12
Benchmark
SPY
Status
New
1Y model return
+61.5%

Performance as of Aug 23, 2026.

Thesis narrative

The question

Are US-listed manufacturers of turbines, generators, fuel cells, transmission hardware, and precision flow-control equipment priced for a normal industrial capex cycle, or for the structurally longer build-out implied by data-center load growth, reshoring, and grid reconductoring commitments already in utility IRP filings?

Base rates

The reference class is industrial equipment cohorts during prior multi-year grid or infrastructure build cycles: the 1998-2002 merchant-gas turbine wave, the 2005-2008 transmission capex cycle, and the 2010-2014 shale-driven flow-control cycle. In each episode, the equipment cohort compounded revenue 12-20% annually through the mid-cycle phase and delivered 3-year forward returns in the 70th-80th percentile of industrial subsectors. The derating phase on the back end was severe: bookings peaked roughly 18 months before earnings, and the stocks peaked roughly 6 months before bookings.

The imputed probability embedded in current forward multiples for this cohort is that 2028 equipment revenue is within 10-15% of 2026 levels -- consistent with a short, sharp cycle. That is a coherent prior, but it assigns a low weight to the possibility that grid and data-center orders are funded on 8-to-12-year contract tails rather than annual capex budgets. The base rate for a capex cycle driven by regulated utility commitments and multi-year hyperscaler PPAs running longer than the sell-side model is higher than the base rate for a cycle driven by discretionary corporate capex.

Why the consensus view is wrong (or incomplete)

The sell-side is modeling power equipment as a cyclical book whose peak bookings imply peak earnings within eighteen months. That framework conflates two different buyer types. The first is the regulated utility, whose orders are backed by rate-case filings that already assume a ten-year reconductoring and transmission build. The second is the hyperscaler and its PPA counterparty, whose orders are backed by inference-compute capex that is, on the current disclosures, supply-constrained.

Neither of those buyers is a classical cyclical. Both are running into the same physical constraint: a North American electrical-equipment supply chain that has not had meaningful capacity added in twenty years. The constraint shows up as lead times of 50-100 weeks on large power transformers and 2-3 years on gas turbines. The margin profile of the cohort in that environment is structurally higher than the back-book average because the incremental unit is price-sensitive to the buyer and capacity-constrained to the seller. The consensus view is not wrong about the cycle existing; it is wrong about when it rolls.

Position construction

Three core positions anchor the book. GE at 20% owns the gas-turbine franchise and the aftermarket services stream that damps the derating risk. AME at 20% owns a diversified precision-instrumentation platform with 25%+ operating margins and a proven multi-cycle reinvestment record. BE at 15% is the highest-variance core: a solid-oxide fuel-cell manufacturer selling into behind-the-meter data-center power, sized to reflect genuine execution risk but weighted materially because the payoff distribution is wider than the rest of the book.

ITT (~7.8%), CR (~6.1%), and GTLS (~5.2%) are the flow-control and cryogenic specialists; their role is exposure to industrial-gas, LNG, and process-industry capex without the utility rate-case dependency. WTS (~5.3%) and GNRC (~6.4%) capture distributed water-heating and backup-power demand at the premise level. VMI (~4.6%) is the transmission-pole and irrigation franchise; MIR (~3.1%) is nuclear instrumentation and the cleanest listed proxy for the small-modular-reactor option. FLS (~3.8%) and NPO (~2.8%) round out the flow-control and sealing book at weights that reflect thinner moats.

The weighting deliberately concentrates in the top three names because the 1Y-vs-SPY hurdle already did the work of filtering the disappointments out of the cohort.

Asymmetric payoff

If utility-filed transmission capex rolls through 2028 at the pace of current IRP commitments and hyperscaler load growth holds, the weighted book compounds roughly 18-26% per year with modest multiple expansion. If capex flat-lines in 2027 and multiples compress one-and-a-half turns, the book returns roughly -12 to -20%. If grid-queue interconnection delays force utilities to accelerate behind-the-meter and on-site generation, the right tail for BE, GE, and MIR carries the book to 35-50% annually.

At a 55% weight on the base case, 25% on the bear, and 20% on the bull, expected value is roughly +14 to +20% annualized against an SPY base rate near +8%. The asymmetry is that the bear case is bounded by installed-base services revenue and the bull case is bounded only by equipment capacity.

Three things that would change our mind

  1. Utility IRP filings begin materially deferring transmission spend to the back half of the decade, indicating that regulators are capping capex to protect ratepayer bills.
  2. Gas-turbine lead times compress below 18 months, signaling that OEM capacity has caught demand and the pricing power in the cohort is fading.
  3. Hyperscaler behind-the-meter generation orders roll off without replacement, indicating that grid interconnect has normalized and the behind-the-meter premium has collapsed.

What we are explicitly NOT betting on

We are not buying renewable-developer equities, residential-solar installers, or EV charging infrastructure. Those businesses depend on policy continuity and consumer adoption curves that sit outside this thesis. We are also not buying the utilities themselves; the regulated utility captures the volume but not the scarcity rent. The scarcity rent sits with the equipment maker whose order book is already full. That is the narrower and higher-conviction claim the portfolio is sized for.

Model basket holdings

Model basket: curated equal or target weighting, not a filed portfolio. Weights are the target basket weights returned by the live ideas endpoint.

NameSymbolModel weight
GE AerospaceGE19.99%
Generac Holdings Inc.GNRC6.43%
AMETEK, Inc.AME20.00%
ITT Inc.ITT7.76%
Flowserve CorporationFLS3.80%
Chart Industries, Inc.GTLS5.17%
Watts Water Technologies, Inc.WTS5.29%
Valmont Industries, Inc.VMI4.59%
Mirion Technologies, Inc.MIR3.12%
Bloom Energy CorporationBE15.00%
Crane CompanyCR6.08%
EnPro Industries, Inc.NPO2.77%

Backtested performance vs SPY

Performance is backtested from the returned tearsheet series. It reflects the model basket methodology and benchmark series, not live fund returns or a filed portfolio track record. Performance as of Aug 23, 2026.

Total Return

+61.5%

SPY +19.2%

Ann. Return

+62.8%

SPY +19.5%

Ann. Vol

31.7%

SPY 12.9%

Sharpe

1.98

SPY 1.52

Max Drawdown

-17.8%

SPY -9.1%

Alpha vs SPY

+22.1%

hit rate 53.2%

Performance as of Aug 23, 2026.

Rolling Performance vs Benchmark

Portfolio Holdings

Holding
Weight
Country
Exchange
Sector
Industry
Mkt Cap
Price
1Y
1Y Trend
AME
AMEAMETEK, Inc.
20.0%
GE
GEGE Aerospace
20.0%
BE
BEBloom Energy Corporation
15.0%
ITT
ITTITT Inc.
7.7%
GNRC
GNRCGenerac Holdings Inc.
6.4%
CR
CRCrane Company
6.1%
WTS
WTSWatts Water Technologies, Inc.
5.3%
GTLS
GTLSChart Industries, Inc.
5.2%
VMI
VMIValmont Industries, Inc.
4.6%
FLS
FLSFlowserve Corporation
3.8%
MIR
MIRMirion Technologies, Inc.
3.1%
NPO
NPOEnPro Industries, Inc.
2.8%

SSR performance series fallback

The table below is the server-rendered reference series behind the interactive chart. Values show the wealth index level from a 1.00 starting value, not a second 1Y return figure. Series as of Aug 23, 2026.

DateModel basket wealth indexSPY
Aug 26, 20251.0000x1.0000x
Aug 27, 20251.0006x1.0023x
Aug 28, 20251.0138x1.0058x
Aug 29, 20250.9982x0.9998x
Sep 2, 20250.9904x0.9924x
Sep 3, 20250.9906x0.9978x
Sep 4, 20251.0134x1.0061x
Sep 5, 20251.0210x1.0032x
Sep 8, 20251.0134x1.0057x
Sep 9, 20251.0107x1.0080x
Sep 10, 20251.0413x1.0109x
Sep 11, 20251.0649x1.0193x
Sep 12, 20251.0573x1.0190x
Sep 15, 20251.0639x1.0244x
Sep 16, 20251.0800x1.0230x
Sep 17, 20251.0856x1.0217x
Sep 18, 20251.1080x1.0265x
Sep 19, 20251.1129x1.0287x
Sep 22, 20251.1178x1.0336x
Sep 23, 20251.0921x1.0280x
Sep 24, 20251.0620x1.0247x
Sep 25, 20251.0526x1.0200x
Sep 26, 20251.0681x1.0258x
Sep 29, 20251.0707x1.0287x
Sep 30, 20251.1067x1.0326x
Oct 1, 20251.1172x1.0361x
Oct 2, 20251.1120x1.0373x
Oct 3, 20251.1100x1.0373x
Oct 6, 20251.1056x1.0410x
Oct 7, 20251.1004x1.0371x
Oct 8, 20251.1125x1.0433x
Oct 9, 20251.1005x1.0403x
Oct 10, 20251.0813x1.0122x
Oct 13, 20251.1412x1.0277x
Oct 14, 20251.1627x1.0265x
Oct 15, 20251.1721x1.0310x
Oct 16, 20251.1659x1.0240x
Oct 17, 20251.1624x1.0298x
Oct 20, 20251.1705x1.0405x
Oct 21, 20251.1675x1.0405x
Oct 22, 20251.1299x1.0351x
Oct 23, 20251.1638x1.0412x
Oct 24, 20251.1790x1.0497x
Oct 27, 20251.1796x1.0621x
Oct 28, 20251.1830x1.0649x
Oct 29, 20251.2449x1.0655x
Oct 30, 20251.2385x1.0537x
Oct 31, 20251.2494x1.0572x
Nov 3, 20251.2609x1.0592x
Nov 4, 20251.2279x1.0466x
Nov 5, 20251.2547x1.0503x
Nov 6, 20251.2342x1.0390x
Nov 7, 20251.2372x1.0400x
Nov 10, 20251.2530x1.0562x
Nov 11, 20251.2338x1.0587x
Nov 12, 20251.2363x1.0592x
Nov 13, 20251.1767x1.0417x
Nov 14, 20251.1881x1.0415x
Nov 17, 20251.1610x1.0318x
Nov 18, 20251.1526x1.0231x
Nov 19, 20251.1708x1.0271x
Nov 20, 20251.1241x1.0114x
Nov 21, 20251.1330x1.0215x
Nov 24, 20251.1523x1.0365x
Nov 25, 20251.1621x1.0463x
Nov 26, 20251.1776x1.0535x
Nov 28, 20251.1973x1.0593x
Dec 1, 20251.1621x1.0544x
Dec 2, 20251.1769x1.0564x
Dec 3, 20251.1817x1.0600x
Dec 4, 20251.2173x1.0608x
Dec 5, 20251.2107x1.0628x
Dec 8, 20251.1951x1.0596x
Dec 9, 20251.1828x1.0587x
Dec 10, 20251.1837x1.0657x
Dec 11, 20251.2115x1.0682x
Dec 12, 20251.1856x1.0567x
Dec 15, 20251.1766x1.0551x
Dec 16, 20251.1646x1.0523x
Dec 17, 20251.1231x1.0407x
Dec 18, 20251.1388x1.0485x
Dec 19, 20251.1679x1.0549x
Dec 22, 20251.1892x1.0615x
Dec 23, 20251.1921x1.0663x
Dec 24, 20251.1942x1.0701x
Dec 26, 20251.1884x1.0700x
Dec 29, 20251.1797x1.0662x
Dec 30, 20251.1736x1.0649x
Dec 31, 20251.1611x1.0570x
Jan 2, 20261.2069x1.0589x
Jan 5, 20261.2356x1.0660x
Jan 6, 20261.2418x1.0723x
Jan 7, 20261.2377x1.0689x
Jan 8, 20261.2620x1.0687x
Jan 9, 20261.2974x1.0758x
Jan 12, 20261.3077x1.0775x
Jan 13, 20261.3207x1.0753x
Jan 14, 20261.3010x1.0701x
Jan 15, 20261.3255x1.0730x
Jan 16, 20261.3468x1.0721x
Jan 20, 20261.3272x1.0503x
Jan 21, 20261.3574x1.0624x
Jan 22, 20261.3344x1.0679x
Jan 23, 20261.3226x1.0683x
Jan 26, 20261.3158x1.0737x
Jan 27, 20261.3285x1.0780x
Jan 28, 20261.3404x1.0779x
Jan 30, 20261.3385x1.0726x
Feb 2, 20261.3600x1.0779x
Feb 3, 20261.3842x1.0688x
Feb 4, 20261.3556x1.0636x
Feb 5, 20261.3470x1.0503x
Feb 6, 20261.3955x1.0705x
Feb 9, 20261.4119x1.0756x
Feb 10, 20261.3978x1.0728x
Feb 11, 20261.4223x1.0725x
Feb 12, 20261.3934x1.0560x
Feb 13, 20261.4075x1.0567x
Feb 17, 20261.4297x1.0584x
Feb 18, 20261.4492x1.0638x
Feb 19, 20261.4572x1.0609x
Feb 20, 20261.4511x1.0686x
Feb 23, 20261.4562x1.0577x
Feb 24, 20261.4887x1.0654x
Feb 25, 20261.4944x1.0744x
Feb 26, 20261.4848x1.0684x
Feb 27, 20261.4632x1.0633x
Mar 2, 20261.4860x1.0639x
Mar 3, 20261.4341x1.0545x
Mar 4, 20261.4596x1.0620x
Mar 5, 20261.4192x1.0560x
Mar 6, 20261.3540x1.0422x
Mar 9, 20261.3881x1.0513x
Mar 10, 20261.4002x1.0496x
Mar 11, 20261.4045x1.0483x
Mar 12, 20261.3563x1.0324x
Mar 13, 20261.3335x1.0266x
Mar 16, 20261.3395x1.0370x
Mar 17, 20261.3536x1.0397x
Mar 18, 20261.3371x1.0252x
Mar 19, 20261.3407x1.0227x
Mar 20, 20261.3005x1.0053x
Mar 23, 20261.3115x1.0158x
Mar 24, 20261.3309x1.0124x
Mar 25, 20261.3392x1.0181x
Mar 26, 20261.2842x0.9999x
Mar 27, 20261.2712x0.9828x
Mar 30, 20261.2284x0.9796x
Mar 31, 20261.2944x1.0080x
Apr 1, 20261.3108x1.0156x
Apr 2, 20261.2994x1.0165x
Apr 6, 20261.3095x1.0213x
Apr 7, 20261.3134x1.0218x
Apr 8, 20261.3922x1.0478x
Apr 9, 20261.4255x1.0539x
Apr 10, 20261.4328x1.0532x
Apr 13, 20261.4556x1.0635x
Apr 14, 20261.5150x1.0764x
Apr 15, 20261.4840x1.0849x
Apr 16, 20261.4594x1.0876x
Apr 17, 20261.4887x1.1007x
Apr 20, 20261.4990x1.0985x
Apr 21, 20261.4844x1.0913x
Apr 22, 20261.4767x1.1024x
Apr 23, 20261.5053x1.0981x
Apr 24, 20261.5020x1.1066x
Apr 27, 20261.5081x1.1085x
Apr 28, 20261.4886x1.1031x
Apr 29, 20261.5538x1.1030x
Apr 30, 20261.5721x1.1139x
May 1, 20261.5579x1.1170x
May 4, 20261.5471x1.1129x
May 5, 20261.5757x1.1218x
May 6, 20261.6098x1.1374x
May 7, 20261.5641x1.1340x
May 8, 20261.5573x1.1433x
May 11, 20261.5835x1.1459x
May 12, 20261.5732x1.1442x
May 13, 20261.5728x1.1506x
May 14, 20261.5882x1.1597x
May 15, 20261.5276x1.1457x
May 18, 20261.5110x1.1449x
May 19, 20261.4946x1.1373x
May 20, 20261.5441x1.1489x
May 21, 20261.5663x1.1512x
May 22, 20261.5831x1.1557x
May 26, 20261.6172x1.1634x
May 27, 20261.6026x1.1632x
May 28, 20261.6026x1.1696x
May 29, 20261.6046x1.1725x
Jun 1, 20261.5839x1.1757x
Jun 2, 20261.6263x1.1773x
Jun 3, 20261.6126x1.1691x
Jun 4, 20261.6281x1.1735x
Jun 5, 20261.5875x1.1432x
Jun 8, 20261.5788x1.1458x
Jun 9, 20261.6029x1.1424x
Jun 10, 20261.5286x1.1244x
Jun 11, 20261.5864x1.1435x
Jun 12, 20261.6131x1.1497x
Jun 15, 20261.6484x1.1700x
Jun 16, 20261.6701x1.1630x
Jun 17, 20261.6787x1.1485x
Jun 18, 20261.7484x1.1574x
Jun 22, 20261.7785x1.1538x
Jun 23, 20261.7304x1.1371x
Jun 24, 20261.7446x1.1365x
Jun 25, 20261.7700x1.1382x
Jun 26, 20261.6917x1.1299x
Jun 29, 20261.7179x1.1486x
Jun 30, 20261.7716x1.1575x
Jul 1, 20261.7286x1.1559x
Jul 2, 20261.6924x1.1544x
Jul 6, 20261.7283x1.1645x
Jul 7, 20261.6587x1.1590x
Jul 8, 20261.6297x1.1554x
Jul 9, 20261.6472x1.1652x
Jul 10, 20261.6415x1.1702x
Jul 13, 20261.6100x1.1612x
Jul 14, 20261.6265x1.1653x
Jul 15, 20261.6281x1.1700x
Jul 16, 20261.5794x1.1636x
Jul 17, 20261.5849x1.1521x
Jul 20, 20261.5483x1.1502x
Jul 21, 20261.5904x1.1598x
Jul 22, 20261.5809x1.1585x
Jul 23, 20261.5972x1.1442x
Jul 24, 20261.5640x1.1453x
Jul 27, 20261.5786x1.1456x
Jul 28, 20261.5458x1.1483x
Jul 29, 20261.4888x1.1307x
Jul 30, 20261.5777x1.1496x
Jul 31, 20261.5902x1.1579x
Aug 3, 20261.6315x1.1744x
Aug 4, 20261.6901x1.1956x
Aug 5, 20261.6967x1.1932x
Aug 6, 20261.6835x1.1913x
Aug 7, 20261.6789x1.1986x
Aug 10, 20261.6548x1.1982x
Aug 11, 20261.6734x1.1944x
Aug 12, 20261.7114x1.1974x
Aug 13, 20261.6978x1.2057x
Aug 14, 20261.7019x1.2033x
Aug 17, 20261.7081x1.1976x
Aug 18, 20261.6613x1.1895x
Aug 19, 20261.6232x1.1920x
Aug 20, 20261.5907x1.1820x
Aug 21, 20261.5959x1.1869x

Themes and category

American RenaissanceIndustrial RenaissanceAI Infrastructure

Methodology and caveats

QuantLink fetches this idea from the live FastAPI ideas endpoints and renders the returned title, thesis, holdings, themes, benchmark, and tearsheet fields directly. Missing fields are left unavailable rather than fabricated.

Holdings are a curated model basket. They are not 13F filings, not insider filings, not adviser holdings, and not a claim that any person or fund owns the basket.

Backtested performance depends on the returned basket weights, benchmark, rebalancing assumptions, available price history, and calculation choices in the tearsheet endpoint. Backtests can differ materially from live results and do not include every cost, tax, capacity, liquidity, or execution constraint an investor may face.

Equal-weight and target-weight baskets can drift between rebalance points. Rebalancing can increase turnover, and concentrated thematic baskets can have higher drawdowns than a broad market benchmark.

Frequently asked questions

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QuantLink is a research tool, not investment advice. This page shows a curated model basket and backtested performance, not a filed portfolio, fund return, or recommendation to buy or sell securities.