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
+94.6%

Performance as of Jul 17, 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 Jul 17, 2026.

Total Return

+94.6%

SPY +20.2%

Ann. Return

+96.7%

SPY +20.5%

Ann. Vol

30.3%

SPY 12.7%

Sharpe

3.19

SPY 1.62

Max Drawdown

-17.8%

SPY -9.1%

Alpha vs SPY

+40.4%

hit rate 54.8%

Performance as of Jul 17, 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 Jul 17, 2026.

DateModel basket wealth indexSPY
Jul 18, 20251.0000x1.0000x
Jul 21, 20250.9947x1.0019x
Jul 22, 20251.0003x1.0020x
Jul 23, 20251.0178x1.0106x
Jul 24, 20251.0541x1.0109x
Jul 25, 20251.0689x1.0152x
Jul 28, 20251.0687x1.0149x
Jul 29, 20251.0799x1.0122x
Jul 30, 20251.1072x1.0110x
Jul 31, 20251.1251x1.0072x
Aug 1, 20251.1059x0.9907x
Aug 4, 20251.1183x1.0057x
Aug 5, 20251.1264x1.0006x
Aug 6, 20251.1300x1.0083x
Aug 7, 20251.1139x1.0074x
Aug 8, 20251.1164x1.0153x
Aug 11, 20251.1234x1.0133x
Aug 12, 20251.1570x1.0241x
Aug 13, 20251.1669x1.0276x
Aug 14, 20251.1577x1.0277x
Aug 15, 20251.1486x1.0253x
Aug 18, 20251.1592x1.0250x
Aug 19, 20251.1470x1.0195x
Aug 20, 20251.1436x1.0168x
Aug 21, 20251.1444x1.0127x
Aug 22, 20251.1752x1.0283x
Aug 25, 20251.1734x1.0237x
Aug 26, 20251.1876x1.0280x
Aug 27, 20251.1882x1.0304x
Aug 28, 20251.2040x1.0340x
Aug 29, 20251.1854x1.0278x
Sep 2, 20251.1761x1.0202x
Sep 3, 20251.1764x1.0257x
Sep 4, 20251.2035x1.0343x
Sep 5, 20251.2125x1.0313x
Sep 8, 20251.2034x1.0339x
Sep 9, 20251.2002x1.0363x
Sep 10, 20251.2366x1.0392x
Sep 11, 20251.2647x1.0479x
Sep 12, 20251.2556x1.0475x
Sep 15, 20251.2635x1.0531x
Sep 16, 20251.2825x1.0517x
Sep 17, 20251.2892x1.0504x
Sep 18, 20251.3158x1.0553x
Sep 19, 20251.3216x1.0576x
Sep 22, 20251.3274x1.0626x
Sep 23, 20251.2969x1.0568x
Sep 24, 20251.2612x1.0534x
Sep 25, 20251.2501x1.0486x
Sep 26, 20251.2684x1.0546x
Sep 29, 20251.2715x1.0575x
Sep 30, 20251.3143x1.0615x
Oct 1, 20251.3268x1.0651x
Oct 2, 20251.3206x1.0664x
Oct 3, 20251.3182x1.0663x
Oct 6, 20251.3130x1.0702x
Oct 7, 20251.3068x1.0662x
Oct 8, 20251.3212x1.0725x
Oct 9, 20251.3069x1.0694x
Oct 10, 20251.2841x1.0405x
Oct 13, 20251.3552x1.0565x
Oct 14, 20251.3808x1.0552x
Oct 15, 20251.3919x1.0599x
Oct 16, 20251.3846x1.0527x
Oct 17, 20251.3804x1.0587x
Oct 20, 20251.3900x1.0697x
Oct 21, 20251.3865x1.0696x
Oct 22, 20251.3418x1.0641x
Oct 23, 20251.3821x1.0704x
Oct 24, 20251.4002x1.0791x
Oct 27, 20251.4009x1.0919x
Oct 28, 20251.4049x1.0948x
Oct 29, 20251.4785x1.0953x
Oct 30, 20251.4708x1.0833x
Oct 31, 20251.4838x1.0868x
Nov 3, 20251.4973x1.0888x
Nov 4, 20251.4582x1.0759x
Nov 5, 20251.4901x1.0797x
Nov 6, 20251.4657x1.0681x
Nov 7, 20251.4693x1.0691x
Nov 10, 20251.4880x1.0858x
Nov 11, 20251.4652x1.0883x
Nov 12, 20251.4681x1.0889x
Nov 13, 20251.3974x1.0708x
Nov 14, 20251.4109x1.0707x
Nov 17, 20251.3787x1.0607x
Nov 18, 20251.3688x1.0518x
Nov 19, 20251.3904x1.0558x
Nov 20, 20251.3349x1.0398x
Nov 21, 20251.3455x1.0501x
Nov 24, 20251.3684x1.0656x
Nov 25, 20251.3800x1.0756x
Nov 26, 20251.3984x1.0830x
Nov 28, 20251.4219x1.0889x
Dec 1, 20251.3801x1.0840x
Dec 2, 20251.3977x1.0860x
Dec 3, 20251.4033x1.0897x
Dec 4, 20251.4456x1.0905x
Dec 5, 20251.4378x1.0926x
Dec 8, 20251.4193x1.0893x
Dec 9, 20251.4046x1.0884x
Dec 10, 20251.4057x1.0956x
Dec 11, 20251.4387x1.0981x
Dec 12, 20251.4080x1.0863x
Dec 15, 20251.3972x1.0847x
Dec 16, 20251.3830x1.0817x
Dec 17, 20251.3337x1.0698x
Dec 18, 20251.3524x1.0779x
Dec 19, 20251.3869x1.0845x
Dec 22, 20251.4122x1.0912x
Dec 23, 20251.4157x1.0962x
Dec 24, 20251.4181x1.1001x
Dec 26, 20251.4113x1.1000x
Dec 29, 20251.4010x1.0960x
Dec 30, 20251.3937x1.0947x
Dec 31, 20251.3789x1.0866x
Jan 2, 20261.4332x1.0886x
Jan 5, 20261.4674x1.0958x
Jan 6, 20261.4747x1.1023x
Jan 7, 20261.4699x1.0988x
Jan 8, 20261.4987x1.0987x
Jan 9, 20261.5408x1.1059x
Jan 12, 20261.5530x1.1077x
Jan 13, 20261.5684x1.1055x
Jan 14, 20261.5450x1.1000x
Jan 15, 20261.5741x1.1030x
Jan 16, 20261.5993x1.1021x
Jan 20, 20261.5762x1.0797x
Jan 21, 20261.6120x1.0921x
Jan 22, 20261.5847x1.0978x
Jan 23, 20261.5707x1.0982x
Jan 26, 20261.5626x1.1038x
Jan 27, 20261.5777x1.1082x
Jan 28, 20261.5918x1.1081x
Jan 30, 20261.5895x1.1026x
Feb 2, 20261.6151x1.1081x
Feb 3, 20261.6438x1.0987x
Feb 4, 20261.6099x1.0934x
Feb 5, 20261.5996x1.0797x
Feb 6, 20261.6572x1.1004x
Feb 9, 20261.6768x1.1058x
Feb 10, 20261.6600x1.1028x
Feb 11, 20261.6891x1.1026x
Feb 12, 20261.6548x1.0856x
Feb 13, 20261.6714x1.0863x
Feb 17, 20261.6978x1.0881x
Feb 18, 20261.7210x1.0935x
Feb 19, 20261.7305x1.0907x
Feb 20, 20261.7233x1.0986x
Feb 23, 20261.7293x1.0873x
Feb 24, 20261.7679x1.0952x
Feb 25, 20261.7747x1.1045x
Feb 26, 20261.7633x1.0983x
Feb 27, 20261.7376x1.0931x
Mar 2, 20261.7647x1.0937x
Mar 3, 20261.7031x1.0841x
Mar 4, 20261.7334x1.0917x
Mar 5, 20261.6854x1.0856x
Mar 6, 20261.6080x1.0714x
Mar 9, 20261.6485x1.0808x
Mar 10, 20261.6628x1.0790x
Mar 11, 20261.6679x1.0777x
Mar 12, 20261.6107x1.0613x
Mar 13, 20261.5836x1.0553x
Mar 16, 20261.5908x1.0660x
Mar 17, 20261.6075x1.0689x
Mar 18, 20261.5878x1.0539x
Mar 19, 20261.5921x1.0513x
Mar 20, 20261.5445x1.0334x
Mar 23, 20261.5575x1.0443x
Mar 24, 20261.5806x1.0408x
Mar 25, 20261.5904x1.0466x
Mar 26, 20261.5251x1.0279x
Mar 27, 20261.5096x1.0104x
Mar 30, 20261.4588x1.0070x
Mar 31, 20261.5372x1.0363x
Apr 1, 20261.5566x1.0441x
Apr 2, 20261.5431x1.0450x
Apr 6, 20261.5551x1.0500x
Apr 7, 20261.5597x1.0504x
Apr 8, 20261.6533x1.0772x
Apr 9, 20261.6929x1.0834x
Apr 10, 20261.7015x1.0827x
Apr 13, 20261.7287x1.0932x
Apr 14, 20261.7992x1.1066x
Apr 15, 20261.7624x1.1153x
Apr 16, 20261.7331x1.1180x
Apr 17, 20261.7680x1.1316x
Apr 20, 20261.7802x1.1293x
Apr 21, 20261.7628x1.1219x
Apr 22, 20261.7537x1.1333x
Apr 23, 20261.7876x1.1289x
Apr 24, 20261.7837x1.1376x
Apr 27, 20261.7910x1.1396x
Apr 28, 20261.7678x1.1340x
Apr 29, 20261.8453x1.1338x
Apr 30, 20261.8670x1.1451x
May 1, 20261.8501x1.1483x
May 4, 20261.8372x1.1441x
May 5, 20261.8712x1.1533x
May 6, 20261.9117x1.1693x
May 7, 20261.8574x1.1657x
May 8, 20261.8494x1.1753x
May 11, 20261.8804x1.1780x
May 12, 20261.8683x1.1762x
May 13, 20261.8678x1.1828x
May 14, 20261.8861x1.1922x
May 15, 20261.8141x1.1778x
May 18, 20261.7944x1.1770x
May 19, 20261.7749x1.1691x
May 20, 20261.8337x1.1811x
May 21, 20261.8600x1.1835x
May 22, 20261.8801x1.1881x
May 26, 20261.9205x1.1960x
May 27, 20261.9032x1.1958x
May 28, 20261.9032x1.2024x
May 29, 20261.9056x1.2054x
Jun 1, 20261.8810x1.2087x
Jun 2, 20261.9313x1.2103x
Jun 3, 20261.9150x1.2018x
Jun 4, 20261.9334x1.2064x
Jun 5, 20261.8852x1.1752x
Jun 8, 20261.8749x1.1779x
Jun 9, 20261.9036x1.1744x
Jun 10, 20261.8154x1.1559x
Jun 11, 20261.8840x1.1756x
Jun 12, 20261.9156x1.1819x
Jun 15, 20261.9576x1.2028x
Jun 16, 20261.9833x1.1956x
Jun 17, 20261.9936x1.1807x
Jun 18, 20262.0764x1.1899x
Jun 22, 20262.1121x1.1861x
Jun 23, 20262.0549x1.1689x
Jun 24, 20262.0719x1.1684x
Jun 25, 20262.1020x1.1701x
Jun 26, 20262.0090x1.1616x
Jun 29, 20262.0401x1.1807x
Jun 30, 20262.1039x1.1899x
Jul 1, 20262.0528x1.1883x
Jul 2, 20262.0098x1.1867x
Jul 6, 20262.0525x1.1971x
Jul 7, 20261.9698x1.1914x
Jul 8, 20261.9354x1.1877x
Jul 9, 20261.9561x1.1978x
Jul 10, 20261.9494x1.2030x
Jul 13, 20261.9120x1.1937x
Jul 14, 20261.9315x1.1980x
Jul 15, 20261.9335x1.2027x

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.