Energy Materials model basket

Ag

A concentrated book of fertilizer producers, grain traders, and row-crop equipment at cycle-trough multiples.

What is the thesis for Ag?

We own the nitrogen, phosphate, and potash producers alongside the grain merchandisers and row-crop equipment OEMs that sit on the other side of a global fertilizer destock and an equipment replacement cycle near a multi-decade low. The thesis rests on food-security arithmetic, a nutrient cycle that has already taken its pricing punishment, and fleet ages that mechanically force replacement.

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
+25.0%

Performance as of Oct 11, 2026.

Thesis narrative

The question

Are fertilizer producers, grain merchandisers, and row-crop equipment makers priced for a prolonged destock and a multi-year equipment spending air pocket, or for a normalization of nutrient demand, a mean-reverting replacement cycle, and a structural food-security bid that has been absent from the tape for eighteen months?

Base rates

The reference class is prior ag down-cycles that followed a price spike: 1996-2001 after the 1995-96 grain run, 2013-2016 after the 2010-2012 spike, and 2023-present after the 2021-2022 spike. In each prior episode, fertilizer equity drawdowns from peak averaged 45-55% and bottomed 18-30 months into the destock; forward three-year returns from that trough, measured as a diversified nutrient basket, averaged +16-22% annualized with roughly 70% hit rate. Row-crop equipment OEMs followed a similar pattern with a two-quarter lag, because the order book drains before the used-equipment market clears.

The cohort has trailed SPY trailing-1Y by a wide margin. The index compounded roughly 28.6% while the ag complex was flat to down. That underperformance is the thesis. The imputed-expectations gap between cycle-trough multiples on DE, NTR, MOS, and CF and the normalized mid-cycle earnings those businesses produced from 2017-2019 is the setup.

The nutrient cycle has its own base rate. Nitrogen, phosphate, and potash each have distinct supply curves, but the meta-pattern is that prices below marginal cash cost do not persist more than four to six quarters because the marginal tonne exits. Potash is currently trading near the 75th percentile of global cash cost; phosphate is near the 85th. Nitrogen is the only leg that still has a demand question attached.

For equipment, the base rate is fleet age. The North American large-tractor and combine fleet is at a 22-year average age, roughly two standard deviations above the 1995-2025 mean. Fleet age this stretched has never mean-reverted without a multi-year replacement up-leg.

Why consensus is wrong

Consensus reads the last eighteen months as the start of a secular de-rating rather than the bottom of a destock. Three pieces of the story are mis-specified.

First, global grain carryout. Stock-to-use for corn and wheat is near the 20th percentile of the last twenty years. A single below-trend harvest in either hemisphere moves the nutrient pull from cautious to urgent because growers in a tight balance sheet buy every pound of nitrogen the agronomy book calls for. The market is pricing the carryout as if it were the 70th percentile.

Second, Chinese and Russian export posture. China has operated nitrogen and phosphate export windows rather than steady flow for three consecutive years; Russian and Belarusian potash has been routed around sanctions at material friction cost. The consensus supply model treats these tonnes as fungible. They are not. A tonne that has to clear two extra intermediaries carries a persistent cost basis that the spot print does not capture.

Third, the equipment destock. Dealer inventories on used combines and high-horsepower tractors are still elevated, and consensus assumes another full season of discounting before the channel clears. The offsetting variable is that new-order cadence has already bottomed at roughly 55% of the 2013-2019 run-rate. When the channel clears -- and fleet age guarantees it will -- the order book snaps rather than ramps because there is no intervening used-equipment buffer to absorb the shift.

Position construction

The book has one 20% anchor, four cluster sub-books, and a long niche tail.

Anchor. DE at 20% is the cleanest read on row-crop equipment replacement, with precision-ag recurring revenue providing a floor under the cyclical trough. The incremental unit economics on large-frame tractors at normalized volumes are the strongest single driver in the book.

Potash and phosphate cluster (~27.7%). NTR at ~15.2% is the integrated potash-plus-retail franchise with through-cycle free cash flow. MOS at ~5.1% adds concentrated phosphate exposure near the 85th percentile cash cost position. SQM at ~6.8% captures the specialty potash and iodine franchise; the lithium optionality is a secondary feature rather than the thesis. IPI is not in the book -- the small-cap potash pure-play did not clear liquidity screens.

Nitrogen (~7.4%). CF at ~7.4% is the North American nitrogen cost-curve leader with structural natural-gas feedstock advantage versus European producers. Sizing reflects the fact that nitrogen is the only nutrient where the demand question has not fully resolved.

Grain merchandisers (~27.3%). ADM at ~16.6% and BG at ~10.7% are the vertically integrated origination, storage, and processing businesses whose earnings power is less about crop price direction than about volatility and basis. Both trade at mid-cycle free cash flow yields.

Equipment, ex-anchor (~15.5%). CNH at ~7.1% and AGCO at ~4.4% round out the row-crop OEM exposure across Case, New Holland, Massey Ferguson, and Fendt. TTC at ~4.0% adds lawn-care and turf equipment with a distinct housing-linked demand curve.

Niche and protein (~2.7%). CALM at ~2.5% is the egg producer with a fleet-of-farms model whose pricing is driven by the biosecurity cycle. NC at ~0.2% is the de minimis coal-and-minerals royalty position; small enough that its idiosyncratic risk does not move the book. SMG is not in the book -- the consumer lawn-and-garden channel did not clear screens.

Asymmetric payoff

If the nutrient destock clears over the next four quarters, the equipment order book normalizes on fleet age, and grain carryout stays at or below the 30th percentile, the weighted book returns roughly 18-26% annualized over three years. If carryout builds for two consecutive seasons and the destock extends, the book returns roughly -5% to +3% with dividend support from DE, NTR, ADM, and BG providing a floor. If a meaningful global harvest shortfall develops in 2026 or 2027, the right tail is 35-45% with multiple expansion concentrated in the nutrient names.

At 55% base, 25% bear, and 20% bull, expected value is roughly +14 to +20% annualized against an SPY base rate near +8%. The payoff is asymmetric because cycle-trough multiples, cost-curve positions at the high end of the global supply stack, and a fleet-age mechanic that cannot be deferred indefinitely all compress the bear case while the food-security right tail remains open.

Three things that would change our mind

  1. Global corn and wheat stock-to-use rebuilding above the 50th percentile on two consecutive harvests with above-trend yields in both hemispheres, which would remove the tightness that makes a nutrient bid self-enforcing.
  2. Chinese nitrogen and phosphate export windows widening to steady-flow rather than episodic release, with policy language indicating a multi-year change rather than a tactical adjustment -- this would collapse the friction premium the book depends on.
  3. Large-tractor and combine dealer new-order cadence failing to inflect above 70% of the 2013-2019 run-rate by the second half of 2026, signaling the fleet-age mean reversion has a demand rather than a supply problem.

What we're explicitly NOT betting on

We are not betting on a specific corn, wheat, or soybean price print. We are not betting on a particular lithium price recovery through the SQM position. We are not betting on any single regulatory outcome -- tariff, export-control, or biofuels mandate. We are not betting on the timing of Chinese urea export quotas. We are not betting on a weather event. The thesis requires only that nutrient demand normalizes off a destock, that an aged equipment fleet behaves like every prior aged equipment fleet, and that grain merchandiser volatility stays in its historical distribution. All three are strictly weaker claims than picking a crop-price direction, and the book is sized for them.

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
Sociedad Química y Minera de Chile S.A.SQM6.82%
Archer-Daniels-Midland CompanyADM16.63%
Nutrien Ltd.NTR15.24%
Bunge Global S.A.BG10.66%
CF Industries Holdings, Inc.CF7.39%
AGCO CorporationAGCO4.39%
NACCO Industries, Inc.NC0.18%
Deere & CompanyDE20.00%
CNH Industrial N.V.CNH7.14%
The Mosaic CompanyMOS5.08%
The Toro CompanyTTC3.96%
Cal-Maine Foods, Inc.CALM2.51%

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 Oct 11, 2026.

Total Return

+25.0%

↑ SPY +17.4%

Ann. Return

+25.5%

↑ SPY +17.7%

Ann. Vol

21.3%

↑ SPY 12.7%

Sharpe

1.19

↓ SPY 1.39

Max Drawdown

-14.4%

↓ SPY -9.1%

Alpha vs SPY

+21.3%

↑ hit rate 50.8%

Performance as of Oct 11, 2026.

Rolling Performance vs Benchmark

Portfolio Holdings

Holding
Weight
Country
Exchange
Sector
Industry
Mkt Cap
Price
1Y
1Y Trend
DE
DEDeere & Company
20.0%
—
—
—
—
—
—
—
ADM
ADMArcher-Daniels-Midland Company
16.6%
—
—
—
—
—
—
—
NTR
NTRNutrien Ltd.
15.2%
—
—
—
—
—
—
—
BG
BGBunge Global S.A.
10.7%
—
—
—
—
—
—
—
CF
CFCF Industries Holdings, Inc.
7.4%
—
—
—
—
—
—
—
CNH
CNHCNH Industrial N.V.
7.1%
—
—
—
—
—
—
—
SQM
SQMSociedad Química y Minera de Chile S.A.
6.8%
—
—
—
—
—
—
—
MOS
MOSThe Mosaic Company
5.1%
—
—
—
—
—
—
—
AGCO
AGCOAGCO Corporation
4.4%
—
—
—
—
—
—
—
TTC
TTCThe Toro Company
4.0%
—
—
—
—
—
—
—
CALM
CALMCal-Maine Foods, Inc.
2.5%
—
—
—
—
—
—
—
NC
NCNACCO Industries, Inc.
0.2%
—
—
—
—
—
—
—

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 Oct 11, 2026.

DateModel basket wealth indexSPY
Oct 14, 20251.0000x1.0000x
Oct 15, 20251.0187x1.0044x
Oct 16, 20251.0163x0.9976x
Oct 17, 20251.0225x1.0033x
Oct 20, 20251.0256x1.0137x
Oct 21, 20251.0107x1.0137x
Oct 22, 20251.0173x1.0084x
Oct 23, 20251.0328x1.0144x
Oct 24, 20251.0400x1.0227x
Oct 27, 20251.0329x1.0347x
Oct 28, 20251.0232x1.0375x
Oct 29, 20251.0206x1.0380x
Oct 30, 20251.0083x1.0266x
Oct 31, 20251.0067x1.0299x
Nov 3, 20251.0055x1.0319x
Nov 4, 20250.9997x1.0196x
Nov 5, 20250.9987x1.0232x
Nov 6, 20250.9945x1.0122x
Nov 7, 20250.9967x1.0132x
Nov 10, 20251.0075x1.0290x
Nov 11, 20251.0199x1.0314x
Nov 12, 20251.0299x1.0319x
Nov 13, 20251.0245x1.0148x
Nov 14, 20251.0267x1.0146x
Nov 17, 20251.0139x1.0052x
Nov 18, 20251.0212x0.9968x
Nov 19, 20251.0081x1.0006x
Nov 20, 20250.9971x0.9854x
Nov 21, 20251.0153x0.9952x
Nov 24, 20251.0099x1.0098x
Nov 25, 20251.0311x1.0193x
Nov 26, 20251.0204x1.0264x
Nov 28, 20251.0223x1.0320x
Dec 1, 20251.0306x1.0272x
Dec 2, 20251.0240x1.0291x
Dec 3, 20251.0309x1.0327x
Dec 4, 20251.0281x1.0335x
Dec 5, 20251.0203x1.0354x
Dec 8, 20251.0047x1.0323x
Dec 9, 20251.0050x1.0314x
Dec 10, 20251.0167x1.0383x
Dec 11, 20251.0409x1.0407x
Dec 12, 20251.0526x1.0295x
Dec 15, 20251.0448x1.0279x
Dec 16, 20251.0305x1.0251x
Dec 17, 20251.0438x1.0138x
Dec 18, 20251.0350x1.0215x
Dec 19, 20251.0342x1.0277x
Dec 22, 20251.0309x1.0341x
Dec 23, 20251.0300x1.0389x
Dec 24, 20251.0312x1.0425x
Dec 26, 20251.0321x1.0424x
Dec 29, 20251.0309x1.0387x
Dec 30, 20251.0283x1.0374x
Dec 31, 20251.0200x1.0297x
Jan 2, 20261.0408x1.0316x
Jan 5, 20261.0441x1.0385x
Jan 6, 20261.0627x1.0447x
Jan 7, 20261.0423x1.0413x
Jan 8, 20261.0817x1.0412x
Jan 9, 20261.0804x1.0481x
Jan 12, 20261.0836x1.0497x
Jan 13, 20261.1048x1.0476x
Jan 14, 20261.1417x1.0425x
Jan 15, 20261.1573x1.0453x
Jan 16, 20261.1438x1.0444x
Jan 20, 20261.1500x1.0232x
Jan 21, 20261.1833x1.0350x
Jan 22, 20261.1803x1.0404x
Jan 23, 20261.1897x1.0408x
Jan 26, 20261.1868x1.0461x
Jan 27, 20261.1936x1.0502x
Jan 28, 20261.1947x1.0501x
Jan 30, 20261.1814x1.0449x
Feb 2, 20261.1832x1.0501x
Feb 3, 20261.2079x1.0412x
Feb 4, 20261.2274x1.0362x
Feb 5, 20261.1998x1.0232x
Feb 6, 20261.2243x1.0429x
Feb 9, 20261.2401x1.0479x
Feb 10, 20261.2524x1.0451x
Feb 11, 20261.2856x1.0449x
Feb 12, 20261.2599x1.0288x
Feb 13, 20261.2671x1.0295x
Feb 17, 20261.2607x1.0311x
Feb 18, 20261.2554x1.0363x
Feb 19, 20261.3024x1.0336x
Feb 20, 20261.2931x1.0411x
Feb 23, 20261.2820x1.0304x
Feb 24, 20261.2914x1.0379x
Feb 25, 20261.2742x1.0467x
Feb 26, 20261.2693x1.0409x
Feb 27, 20261.2909x1.0359x
Mar 2, 20261.2993x1.0365x
Mar 3, 20261.2694x1.0273x
Mar 4, 20261.2620x1.0346x
Mar 5, 20261.2472x1.0288x
Mar 6, 20261.2591x1.0153x
Mar 9, 20261.2690x1.0242x
Mar 10, 20261.2699x1.0226x
Mar 11, 20261.3020x1.0213x
Mar 12, 20261.3303x1.0058x
Mar 13, 20261.3087x1.0001x
Mar 16, 20261.2810x1.0103x
Mar 17, 20261.2967x1.0129x
Mar 18, 20261.2754x0.9988x
Mar 19, 20261.2530x0.9963x
Mar 20, 20261.2199x0.9794x
Mar 23, 20261.2374x0.9897x
Mar 24, 20261.2828x0.9863x
Mar 25, 20261.2920x0.9918x
Mar 26, 20261.2836x0.9741x
Mar 27, 20261.2895x0.9575x
Mar 30, 20261.2786x0.9543x
Mar 31, 20261.2874x0.9820x
Apr 1, 20261.2938x0.9894x
Apr 2, 20261.2990x0.9903x
Apr 6, 20261.2973x0.9950x
Apr 7, 20261.2942x0.9955x
Apr 8, 20261.3134x1.0208x
Apr 9, 20261.2972x1.0267x
Apr 10, 20261.2913x1.0260x
Apr 13, 20261.2982x1.0360x
Apr 14, 20261.2860x1.0487x
Apr 15, 20261.2551x1.0569x
Apr 16, 20261.2819x1.0595x
Apr 17, 20261.2530x1.0723x
Apr 20, 20261.2680x1.0702x
Apr 21, 20261.2808x1.0632x
Apr 22, 20261.2716x1.0740x
Apr 23, 20261.2829x1.0698x
Apr 24, 20261.2593x1.0781x
Apr 27, 20261.2708x1.0799x
Apr 28, 20261.2732x1.0747x
Apr 29, 20261.2820x1.0745x
Apr 30, 20261.3127x1.0852x
May 1, 20261.2982x1.0882x
May 4, 20261.3047x1.0842x
May 5, 20261.3230x1.0929x
May 6, 20261.3169x1.1081x
May 7, 20261.2874x1.1047x
May 8, 20261.2822x1.1138x
May 11, 20261.3129x1.1164x
May 12, 20261.3242x1.1147x
May 13, 20261.3160x1.1209x
May 14, 20261.2968x1.1298x
May 15, 20261.2807x1.1162x
May 18, 20261.2844x1.1154x
May 19, 20261.2715x1.1080x
May 20, 20261.2637x1.1193x
May 21, 20261.2430x1.1215x
May 22, 20261.2462x1.1260x
May 26, 20261.2469x1.1334x
May 27, 20261.2561x1.1332x
May 28, 20261.2672x1.1395x
May 29, 20261.2587x1.1423x
Jun 1, 20261.2702x1.1454x
Jun 2, 20261.2935x1.1470x
Jun 3, 20261.3077x1.1389x
Jun 4, 20261.3014x1.1432x
Jun 5, 20261.2723x1.1137x
Jun 8, 20261.2574x1.1163x
Jun 9, 20261.2607x1.1130x
Jun 10, 20261.2419x1.0954x
Jun 11, 20261.2506x1.1141x
Jun 12, 20261.2786x1.1201x
Jun 15, 20261.2629x1.1398x
Jun 16, 20261.2541x1.1330x
Jun 17, 20261.2440x1.1189x
Jun 18, 20261.2306x1.1276x
Jun 22, 20261.2302x1.1241x
Jun 23, 20261.2141x1.1077x
Jun 24, 20261.2148x1.1072x
Jun 25, 20261.2457x1.1088x
Jun 26, 20261.2394x1.1008x
Jun 29, 20261.2456x1.1189x
Jun 30, 20261.2533x1.1277x
Jul 1, 20261.2471x1.1261x
Jul 2, 20261.2510x1.1247x
Jul 6, 20261.2670x1.1345x
Jul 7, 20261.2541x1.1291x
Jul 8, 20261.2652x1.1256x
Jul 9, 20261.2498x1.1351x
Jul 10, 20261.2611x1.1400x
Jul 13, 20261.2768x1.1313x
Jul 14, 20261.2803x1.1353x
Jul 15, 20261.2815x1.1398x
Jul 16, 20261.2795x1.1336x
Jul 17, 20261.2958x1.1224x
Jul 20, 20261.2852x1.1206x
Jul 21, 20261.2877x1.1299x
Jul 22, 20261.3202x1.1286x
Jul 23, 20261.3131x1.1147x
Jul 24, 20261.3243x1.1158x
Jul 27, 20261.3041x1.1161x
Jul 28, 20261.3252x1.1187x
Jul 29, 20261.2900x1.1015x
Jul 30, 20261.2722x1.1200x
Jul 31, 20261.2560x1.1281x
Aug 3, 20261.2496x1.1441x
Aug 4, 20261.2748x1.1647x
Aug 5, 20261.2641x1.1624x
Aug 6, 20261.2692x1.1606x
Aug 7, 20261.2600x1.1677x
Aug 10, 20261.2787x1.1673x
Aug 11, 20261.2810x1.1636x
Aug 12, 20261.2793x1.1665x
Aug 13, 20261.2713x1.1746x
Aug 14, 20261.2789x1.1723x
Aug 17, 20261.2754x1.1668x
Aug 18, 20261.2734x1.1589x
Aug 19, 20261.2753x1.1613x
Aug 20, 20261.3272x1.1516x
Aug 21, 20261.3572x1.1563x
Aug 24, 20261.3459x1.1529x
Aug 25, 20261.3337x1.1566x
Aug 26, 20261.3404x1.1568x
Aug 27, 20261.3267x1.1644x
Aug 28, 20261.3439x1.1618x
Aug 31, 20261.3681x1.1583x
Sep 1, 20261.4138x1.1503x
Sep 2, 20261.4534x1.1554x
Sep 3, 20261.4388x1.1675x
Sep 4, 20261.4353x1.1630x
Sep 8, 20261.4337x1.1566x
Sep 9, 20261.4407x1.1513x
Sep 10, 20261.4232x1.1444x
Sep 11, 20261.4128x1.1541x
Sep 14, 20261.4098x1.1490x
Sep 15, 20261.4228x1.1437x
Sep 16, 20261.3922x1.1387x
Sep 17, 20261.4218x1.1516x
Sep 18, 20261.3891x1.1502x
Sep 21, 20261.3716x1.1680x
Sep 22, 20261.3785x1.1678x
Sep 23, 20261.3808x1.1594x
Sep 24, 20261.3555x1.1585x
Sep 25, 20261.3389x1.1648x
Sep 28, 20261.3330x1.1561x
Sep 29, 20261.3239x1.1540x
Sep 30, 20261.3085x1.1516x
Oct 1, 20261.3018x1.1537x
Oct 2, 20261.3193x1.1622x
Oct 5, 20261.3267x1.1700x
Oct 6, 20261.3273x1.1765x
Oct 7, 20261.2914x1.1736x
Oct 8, 20261.2921x1.1687x
Oct 9, 20261.2448x1.1757x

Themes and category

Energy MaterialsEnergy & MaterialsDefensive

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.

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