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
+60.5%

Performance as of Sep 8, 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 Sep 8, 2026.

Total Return

+60.5%

SPY +18.7%

Ann. Return

+61.5%

SPY +18.9%

Ann. Vol

31.8%

SPY 12.9%

Sharpe

1.93

SPY 1.47

Max Drawdown

-17.8%

SPY -9.1%

Alpha vs SPY

+22.3%

hit rate 53.4%

Performance as of Sep 8, 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 Sep 8, 2026.

DateModel basket wealth indexSPY
Sep 9, 20251.0000x1.0000x
Sep 10, 20251.0303x1.0029x
Sep 11, 20251.0537x1.0112x
Sep 12, 20251.0462x1.0109x
Sep 15, 20251.0527x1.0163x
Sep 16, 20251.0685x1.0149x
Sep 17, 20251.0741x1.0136x
Sep 18, 20251.0963x1.0183x
Sep 19, 20251.1011x1.0206x
Sep 22, 20251.1060x1.0254x
Sep 23, 20251.0805x1.0198x
Sep 24, 20251.0508x1.0166x
Sep 25, 20251.0415x1.0119x
Sep 26, 20251.0568x1.0177x
Sep 29, 20251.0594x1.0205x
Sep 30, 20251.0950x1.0244x
Oct 1, 20251.1054x1.0279x
Oct 2, 20251.1002x1.0290x
Oct 3, 20251.0982x1.0290x
Oct 6, 20251.0940x1.0327x
Oct 7, 20251.0888x1.0289x
Oct 8, 20251.1008x1.0350x
Oct 9, 20251.0888x1.0320x
Oct 10, 20251.0699x1.0041x
Oct 13, 20251.1291x1.0195x
Oct 14, 20251.1505x1.0183x
Oct 15, 20251.1597x1.0228x
Oct 16, 20251.1536x1.0159x
Oct 17, 20251.1501x1.0216x
Oct 20, 20251.1581x1.0322x
Oct 21, 20251.1552x1.0322x
Oct 22, 20251.1179x1.0269x
Oct 23, 20251.1515x1.0330x
Oct 24, 20251.1666x1.0414x
Oct 27, 20251.1672x1.0537x
Oct 28, 20251.1705x1.0565x
Oct 29, 20251.2318x1.0570x
Oct 30, 20251.2254x1.0454x
Oct 31, 20251.2362x1.0488x
Nov 3, 20251.2475x1.0508x
Nov 4, 20251.2149x1.0383x
Nov 5, 20251.2415x1.0419x
Nov 6, 20251.2212x1.0307x
Nov 7, 20251.2241x1.0317x
Nov 10, 20251.2398x1.0478x
Nov 11, 20251.2207x1.0502x
Nov 12, 20251.2232x1.0508x
Nov 13, 20251.1642x1.0334x
Nov 14, 20251.1755x1.0332x
Nov 17, 20251.1487x1.0236x
Nov 18, 20251.1404x1.0150x
Nov 19, 20251.1584x1.0189x
Nov 20, 20251.1122x1.0034x
Nov 21, 20251.1210x1.0134x
Nov 24, 20251.1401x1.0283x
Nov 25, 20251.1498x1.0380x
Nov 26, 20251.1651x1.0451x
Nov 28, 20251.1847x1.0508x
Dec 1, 20251.1498x1.0460x
Dec 2, 20251.1645x1.0480x
Dec 3, 20251.1692x1.0516x
Dec 4, 20251.2045x1.0524x
Dec 5, 20251.1979x1.0544x
Dec 8, 20251.1825x1.0512x
Dec 9, 20251.1703x1.0503x
Dec 10, 20251.1712x1.0573x
Dec 11, 20251.1987x1.0597x
Dec 12, 20251.1731x1.0483x
Dec 15, 20251.1641x1.0467x
Dec 16, 20251.1523x1.0439x
Dec 17, 20251.1112x1.0324x
Dec 18, 20251.1268x1.0402x
Dec 19, 20251.1555x1.0465x
Dec 22, 20251.1766x1.0530x
Dec 23, 20251.1795x1.0579x
Dec 24, 20251.1815x1.0616x
Dec 26, 20251.1758x1.0615x
Dec 29, 20251.1673x1.0577x
Dec 30, 20251.1612x1.0564x
Dec 31, 20251.1488x1.0486x
Jan 2, 20261.1941x1.0505x
Jan 5, 20261.2226x1.0575x
Jan 6, 20261.2287x1.0638x
Jan 7, 20261.2247x1.0604x
Jan 8, 20261.2487x1.0602x
Jan 9, 20261.2837x1.0673x
Jan 12, 20261.2939x1.0689x
Jan 13, 20261.3067x1.0668x
Jan 14, 20261.2873x1.0616x
Jan 15, 20261.3115x1.0644x
Jan 16, 20261.3325x1.0636x
Jan 20, 20261.3132x1.0419x
Jan 21, 20261.3430x1.0539x
Jan 22, 20261.3203x1.0594x
Jan 23, 20261.3086x1.0598x
Jan 26, 20261.3019x1.0652x
Jan 27, 20261.3145x1.0694x
Jan 28, 20261.3262x1.0693x
Jan 30, 20261.3243x1.0640x
Feb 2, 20261.3457x1.0693x
Feb 3, 20261.3695x1.0603x
Feb 4, 20261.3413x1.0551x
Feb 5, 20261.3328x1.0420x
Feb 6, 20261.3807x1.0620x
Feb 9, 20261.3970x1.0671x
Feb 10, 20261.3830x1.0643x
Feb 11, 20261.4073x1.0640x
Feb 12, 20261.3787x1.0476x
Feb 13, 20261.3926x1.0483x
Feb 17, 20261.4146x1.0500x
Feb 18, 20261.4339x1.0553x
Feb 19, 20261.4418x1.0525x
Feb 20, 20261.4358x1.0601x
Feb 23, 20261.4408x1.0493x
Feb 24, 20261.4729x1.0569x
Feb 25, 20261.4786x1.0658x
Feb 26, 20261.4691x1.0599x
Feb 27, 20261.4477x1.0548x
Mar 2, 20261.4703x1.0554x
Mar 3, 20261.4189x1.0461x
Mar 4, 20261.4442x1.0535x
Mar 5, 20261.4042x1.0476x
Mar 6, 20261.3397x1.0339x
Mar 9, 20261.3735x1.0430x
Mar 10, 20261.3854x1.0413x
Mar 11, 20261.3896x1.0400x
Mar 12, 20261.3420x1.0242x
Mar 13, 20261.3194x1.0184x
Mar 16, 20261.3254x1.0288x
Mar 17, 20261.3393x1.0315x
Mar 18, 20261.3229x1.0171x
Mar 19, 20261.3265x1.0146x
Mar 20, 20261.2868x0.9973x
Mar 23, 20261.2976x1.0078x
Mar 24, 20261.3169x1.0044x
Mar 25, 20261.3251x1.0100x
Mar 26, 20261.2706x0.9919x
Mar 27, 20261.2577x0.9750x
Mar 30, 20261.2154x0.9718x
Mar 31, 20261.2807x1.0000x
Apr 1, 20261.2969x1.0076x
Apr 2, 20261.2857x1.0085x
Apr 6, 20261.2956x1.0132x
Apr 7, 20261.2995x1.0137x
Apr 8, 20261.3774x1.0395x
Apr 9, 20261.4104x1.0455x
Apr 10, 20261.4177x1.0448x
Apr 13, 20261.4402x1.0550x
Apr 14, 20261.4990x1.0679x
Apr 15, 20261.4683x1.0763x
Apr 16, 20261.4440x1.0789x
Apr 17, 20261.4730x1.0920x
Apr 20, 20261.4832x1.0898x
Apr 21, 20261.4687x1.0827x
Apr 22, 20261.4611x1.0936x
Apr 23, 20261.4894x1.0894x
Apr 24, 20261.4861x1.0978x
Apr 27, 20261.4922x1.0997x
Apr 28, 20261.4729x1.0944x
Apr 29, 20261.5374x1.0942x
Apr 30, 20261.5555x1.1051x
May 1, 20261.5415x1.1081x
May 4, 20261.5307x1.1041x
May 5, 20261.5590x1.1129x
May 6, 20261.5928x1.1284x
May 7, 20261.5475x1.1249x
May 8, 20261.5408x1.1342x
May 11, 20261.5667x1.1368x
May 12, 20261.5566x1.1351x
May 13, 20261.5562x1.1414x
May 14, 20261.5714x1.1504x
May 15, 20261.5114x1.1366x
May 18, 20261.4950x1.1358x
May 19, 20261.4788x1.1282x
May 20, 20261.5278x1.1398x
May 21, 20261.5497x1.1421x
May 22, 20261.5664x1.1466x
May 26, 20261.6001x1.1542x
May 27, 20261.5857x1.1540x
May 28, 20261.5857x1.1603x
May 29, 20261.5877x1.1632x
Jun 1, 20261.5672x1.1664x
Jun 2, 20261.6091x1.1680x
Jun 3, 20261.5955x1.1598x
Jun 4, 20261.6109x1.1642x
Jun 5, 20261.5707x1.1341x
Jun 8, 20261.5621x1.1367x
Jun 9, 20261.5860x1.1333x
Jun 10, 20261.5125x1.1155x
Jun 11, 20261.5697x1.1344x
Jun 12, 20261.5960x1.1406x
Jun 15, 20261.6310x1.1607x
Jun 16, 20261.6524x1.1538x
Jun 17, 20261.6610x1.1394x
Jun 18, 20261.7299x1.1482x
Jun 22, 20261.7597x1.1446x
Jun 23, 20261.7121x1.1280x
Jun 24, 20261.7262x1.1275x
Jun 25, 20261.7513x1.1291x
Jun 26, 20261.6738x1.1210x
Jun 29, 20261.6998x1.1394x
Jun 30, 20261.7529x1.1483x
Jul 1, 20261.7103x1.1467x
Jul 2, 20261.6745x1.1452x
Jul 6, 20261.7101x1.1552x
Jul 7, 20261.6412x1.1497x
Jul 8, 20261.6125x1.1462x
Jul 9, 20261.6297x1.1559x
Jul 10, 20261.6242x1.1609x
Jul 13, 20261.5930x1.1520x
Jul 14, 20261.6093x1.1561x
Jul 15, 20261.6109x1.1607x
Jul 16, 20261.5627x1.1544x
Jul 17, 20261.5681x1.1429x
Jul 20, 20261.5319x1.1411x
Jul 21, 20261.5736x1.1506x
Jul 22, 20261.5642x1.1493x
Jul 23, 20261.5803x1.1351x
Jul 24, 20261.5475x1.1362x
Jul 27, 20261.5619x1.1365x
Jul 28, 20261.5295x1.1392x
Jul 29, 20261.4731x1.1217x
Jul 30, 20261.5610x1.1405x
Jul 31, 20261.5734x1.1487x
Aug 3, 20261.6142x1.1651x
Aug 4, 20261.6722x1.1861x
Aug 5, 20261.6787x1.1837x
Aug 6, 20261.6657x1.1818x
Aug 7, 20261.6612x1.1890x
Aug 10, 20261.6373x1.1887x
Aug 11, 20261.6557x1.1849x
Aug 12, 20261.6933x1.1878x
Aug 13, 20261.6799x1.1961x
Aug 14, 20261.6839x1.1938x
Aug 17, 20261.6901x1.1881x
Aug 18, 20261.6437x1.1801x
Aug 19, 20261.6061x1.1826x
Aug 20, 20261.5739x1.1726x
Aug 21, 20261.5790x1.1774x
Aug 24, 20261.5734x1.1740x
Aug 25, 20261.5945x1.1777x
Aug 26, 20261.6175x1.1780x
Aug 27, 20261.5952x1.1857x
Aug 28, 20261.5587x1.1830x
Aug 31, 20261.5435x1.1795x
Sep 1, 20261.5296x1.1714x
Sep 2, 20261.5382x1.1766x
Sep 3, 20261.5756x1.1889x
Sep 4, 20261.6097x1.1843x

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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