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
+97.1%

Performance as of Jul 11, 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 11, 2026.

Total Return

+97.1%

SPY +20.5%

Ann. Return

+99.3%

SPY +20.9%

Ann. Vol

30.2%

SPY 12.6%

Sharpe

3.28

SPY 1.65

Max Drawdown

-17.8%

SPY -9.1%

Alpha vs SPY

+41.3%

hit rate 54.8%

Performance as of Jul 11, 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 11, 2026.

DateModel basket wealth indexSPY
Jul 14, 20251.0000x1.0000x
Jul 15, 20250.9906x0.9957x
Jul 16, 20250.9934x0.9991x
Jul 17, 20250.9965x1.0052x
Jul 18, 20251.0028x1.0044x
Jul 21, 20250.9974x1.0063x
Jul 22, 20251.0031x1.0065x
Jul 23, 20251.0207x1.0150x
Jul 24, 20251.0571x1.0154x
Jul 25, 20251.0719x1.0197x
Jul 28, 20251.0717x1.0194x
Jul 29, 20251.0829x1.0167x
Jul 30, 20251.1103x1.0154x
Jul 31, 20251.1283x1.0116x
Aug 1, 20251.1090x0.9951x
Aug 4, 20251.1215x1.0102x
Aug 5, 20251.1295x1.0051x
Aug 6, 20251.1332x1.0128x
Aug 7, 20251.1170x1.0119x
Aug 8, 20251.1196x1.0198x
Aug 11, 20251.1265x1.0178x
Aug 12, 20251.1602x1.0286x
Aug 13, 20251.1702x1.0321x
Aug 14, 20251.1609x1.0322x
Aug 15, 20251.1519x1.0298x
Aug 18, 20251.1625x1.0296x
Aug 19, 20251.1502x1.0240x
Aug 20, 20251.1468x1.0213x
Aug 21, 20251.1476x1.0172x
Aug 22, 20251.1784x1.0328x
Aug 25, 20251.1767x1.0283x
Aug 26, 20251.1909x1.0326x
Aug 27, 20251.1916x1.0349x
Aug 28, 20251.2073x1.0386x
Aug 29, 20251.1887x1.0324x
Sep 2, 20251.1794x1.0247x
Sep 3, 20251.1797x1.0303x
Sep 4, 20251.2068x1.0389x
Sep 5, 20251.2159x1.0359x
Sep 8, 20251.2068x1.0384x
Sep 9, 20251.2036x1.0408x
Sep 10, 20251.2400x1.0439x
Sep 11, 20251.2682x1.0525x
Sep 12, 20251.2591x1.0522x
Sep 15, 20251.2670x1.0578x
Sep 16, 20251.2861x1.0563x
Sep 17, 20251.2928x1.0550x
Sep 18, 20251.3195x1.0599x
Sep 19, 20251.3253x1.0622x
Sep 22, 20251.3311x1.0673x
Sep 23, 20251.3005x1.0615x
Sep 24, 20251.2647x1.0581x
Sep 25, 20251.2536x1.0532x
Sep 26, 20251.2720x1.0592x
Sep 29, 20251.2750x1.0622x
Sep 30, 20251.3179x1.0662x
Oct 1, 20251.3305x1.0698x
Oct 2, 20251.3242x1.0711x
Oct 3, 20251.3218x1.0711x
Oct 6, 20251.3167x1.0749x
Oct 7, 20251.3105x1.0709x
Oct 8, 20251.3249x1.0773x
Oct 9, 20251.3105x1.0742x
Oct 10, 20251.2877x1.0451x
Oct 13, 20251.3590x1.0612x
Oct 14, 20251.3847x1.0599x
Oct 15, 20251.3958x1.0646x
Oct 16, 20251.3884x1.0573x
Oct 17, 20251.3842x1.0633x
Oct 20, 20251.3939x1.0744x
Oct 21, 20251.3904x1.0744x
Oct 22, 20251.3455x1.0688x
Oct 23, 20251.3859x1.0751x
Oct 24, 20251.4041x1.0839x
Oct 27, 20251.4048x1.0967x
Oct 28, 20251.4088x1.0996x
Oct 29, 20251.4826x1.1002x
Oct 30, 20251.4749x1.0881x
Oct 31, 20251.4879x1.0916x
Nov 3, 20251.5015x1.0937x
Nov 4, 20251.4623x1.0807x
Nov 5, 20251.4942x1.0845x
Nov 6, 20251.4698x1.0728x
Nov 7, 20251.4734x1.0739x
Nov 10, 20251.4922x1.0906x
Nov 11, 20251.4693x1.0931x
Nov 12, 20251.4722x1.0937x
Nov 13, 20251.4013x1.0756x
Nov 14, 20251.4149x1.0754x
Nov 17, 20251.3826x1.0654x
Nov 18, 20251.3726x1.0564x
Nov 19, 20251.3943x1.0605x
Nov 20, 20251.3387x1.0444x
Nov 21, 20251.3492x1.0548x
Nov 24, 20251.3722x1.0703x
Nov 25, 20251.3839x1.0804x
Nov 26, 20251.4023x1.0878x
Nov 28, 20251.4259x1.0938x
Dec 1, 20251.3840x1.0888x
Dec 2, 20251.4016x1.0908x
Dec 3, 20251.4072x1.0946x
Dec 4, 20251.4497x1.0954x
Dec 5, 20251.4418x1.0974x
Dec 8, 20251.4233x1.0941x
Dec 9, 20251.4085x1.0932x
Dec 10, 20251.4096x1.1004x
Dec 11, 20251.4428x1.1030x
Dec 12, 20251.4119x1.0911x
Dec 15, 20251.4011x1.0895x
Dec 16, 20251.3869x1.0865x
Dec 17, 20251.3375x1.0746x
Dec 18, 20251.3562x1.0827x
Dec 19, 20251.3908x1.0893x
Dec 22, 20251.4161x1.0961x
Dec 23, 20251.4196x1.1011x
Dec 24, 20251.4221x1.1049x
Dec 26, 20251.4152x1.1048x
Dec 29, 20251.4049x1.1009x
Dec 30, 20251.3976x1.0996x
Dec 31, 20251.3827x1.0914x
Jan 2, 20261.4372x1.0934x
Jan 5, 20261.4715x1.1007x
Jan 6, 20261.4788x1.1072x
Jan 7, 20261.4740x1.1037x
Jan 8, 20261.5029x1.1036x
Jan 9, 20261.5451x1.1108x
Jan 12, 20261.5573x1.1126x
Jan 13, 20261.5728x1.1104x
Jan 14, 20261.5493x1.1049x
Jan 15, 20261.5785x1.1079x
Jan 16, 20261.6038x1.1070x
Jan 20, 20261.5806x1.0845x
Jan 21, 20261.6165x1.0970x
Jan 22, 20261.5891x1.1027x
Jan 23, 20261.5751x1.1031x
Jan 26, 20261.5669x1.1087x
Jan 27, 20261.5821x1.1131x
Jan 28, 20261.5962x1.1130x
Jan 30, 20261.5939x1.1075x
Feb 2, 20261.6196x1.1130x
Feb 3, 20261.6484x1.1036x
Feb 4, 20261.6144x1.0982x
Feb 5, 20261.6041x1.0845x
Feb 6, 20261.6618x1.1053x
Feb 9, 20261.6814x1.1107x
Feb 10, 20261.6646x1.1077x
Feb 11, 20261.6938x1.1075x
Feb 12, 20261.6594x1.0904x
Feb 13, 20261.6761x1.0911x
Feb 17, 20261.7026x1.0929x
Feb 18, 20261.7258x1.0984x
Feb 19, 20261.7353x1.0955x
Feb 20, 20261.7281x1.1034x
Feb 23, 20261.7341x1.0922x
Feb 24, 20261.7728x1.1001x
Feb 25, 20261.7796x1.1094x
Feb 26, 20261.7682x1.1032x
Feb 27, 20261.7425x1.0979x
Mar 2, 20261.7696x1.0985x
Mar 3, 20261.7078x1.0889x
Mar 4, 20261.7383x1.0965x
Mar 5, 20261.6901x1.0904x
Mar 6, 20261.6125x1.0761x
Mar 9, 20261.6531x1.0856x
Mar 10, 20261.6674x1.0838x
Mar 11, 20261.6726x1.0825x
Mar 12, 20261.6152x1.0660x
Mar 13, 20261.5880x1.0600x
Mar 16, 20261.5952x1.0708x
Mar 17, 20261.6119x1.0736x
Mar 18, 20261.5923x1.0586x
Mar 19, 20261.5966x1.0560x
Mar 20, 20261.5488x1.0380x
Mar 23, 20261.5618x1.0489x
Mar 24, 20261.5850x1.0454x
Mar 25, 20261.5949x1.0512x
Mar 26, 20261.5293x1.0325x
Mar 27, 20261.5138x1.0149x
Mar 30, 20261.4629x1.0115x
Mar 31, 20261.5415x1.0409x
Apr 1, 20261.5610x1.0487x
Apr 2, 20261.5474x1.0496x
Apr 6, 20261.5594x1.0546x
Apr 7, 20261.5641x1.0551x
Apr 8, 20261.6579x1.0819x
Apr 9, 20261.6976x1.0882x
Apr 10, 20261.7063x1.0875x
Apr 13, 20261.7335x1.0981x
Apr 14, 20261.8042x1.1115x
Apr 15, 20261.7673x1.1202x
Apr 16, 20261.7380x1.1230x
Apr 17, 20261.7729x1.1366x
Apr 20, 20261.7851x1.1343x
Apr 21, 20261.7677x1.1269x
Apr 22, 20261.7586x1.1383x
Apr 23, 20261.7926x1.1339x
Apr 24, 20261.7887x1.1427x
Apr 27, 20261.7960x1.1446x
Apr 28, 20261.7728x1.1391x
Apr 29, 20261.8504x1.1389x
Apr 30, 20261.8722x1.1502x
May 1, 20261.8553x1.1534x
May 4, 20261.8424x1.1492x
May 5, 20261.8764x1.1584x
May 6, 20261.9170x1.1745x
May 7, 20261.8626x1.1709x
May 8, 20261.8545x1.1806x
May 11, 20261.8857x1.1832x
May 12, 20261.8735x1.1814x
May 13, 20261.8730x1.1881x
May 14, 20261.8913x1.1974x
May 15, 20261.8191x1.1830x
May 18, 20261.7994x1.1822x
May 19, 20261.7799x1.1743x
May 20, 20261.8389x1.1864x
May 21, 20261.8652x1.1887x
May 22, 20261.8853x1.1934x
May 26, 20261.9259x1.2013x
May 27, 20261.9085x1.2011x
May 28, 20261.9085x1.2077x
May 29, 20261.9109x1.2107x
Jun 1, 20261.8862x1.2140x
Jun 2, 20261.9367x1.2157x
Jun 3, 20261.9204x1.2072x
Jun 4, 20261.9388x1.2117x
Jun 5, 20261.8905x1.1804x
Jun 8, 20261.8802x1.1831x
Jun 9, 20261.9089x1.1796x
Jun 10, 20261.8204x1.1610x
Jun 11, 20261.8893x1.1808x
Jun 12, 20261.9210x1.1872x
Jun 15, 20261.9631x1.2081x
Jun 16, 20261.9888x1.2009x
Jun 17, 20261.9992x1.1859x
Jun 18, 20262.0822x1.1951x
Jun 22, 20262.1180x1.1914x
Jun 23, 20262.0606x1.1741x
Jun 24, 20262.0776x1.1735x
Jun 25, 20262.1078x1.1752x
Jun 26, 20262.0146x1.1667x
Jun 29, 20262.0458x1.1860x
Jun 30, 20262.1098x1.1952x
Jul 1, 20262.0585x1.1936x
Jul 2, 20262.0154x1.1920x
Jul 6, 20262.0582x1.2024x
Jul 7, 20261.9754x1.1967x
Jul 8, 20261.9408x1.1930x
Jul 9, 20261.9616x1.2031x

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.