The average effective US tariff rate climbed from roughly 2.4% in 2024 to roughly 17.9% by mid-2026 [VERIFY: Yale Budget Lab effective tariff tracker], the steepest repricing of American import costs in decades, and the federal government's own checkbook moved with it. Cross-reference two public datasets, USAspending.gov award obligations and the tariff schedules maintained by the Office of the U.S. Trade Representative [VERIFY: USTR tariff schedules], and a clean divide emerges. On one side sit companies whose federal contract revenue grew as procurement dollars rerouted toward domestic suppliers: steelmakers, metal fabricators, and heavy-equipment vendors. On the other side sit import-dependent sellers, led by big-box retail, whose 10-Q filings now carry explicit tariff-cost disclosures and whose executives have told investors the damage cannot be fully offset [VERIFY: Walmart FY2026 Q1 earnings call; Target 10-Q]. President Donald Trump's tariff wall, in other words, has two ledgers, and this article reads both.
The tariff wall meets the federal checkbook
Tariffs and procurement are usually analyzed separately, but under the current regime they operate as one machine. The tariff side, administered by US Trade Representative Jamieson Greer [VERIFY: USTR.gov leadership page], raises the landed cost of imported steel, aluminum, machinery, and finished goods; the procurement side, governed by Buy American content thresholds that stepped up to 65% domestic content in 2024 en route to 75% by 2029 [VERIFY: FAR 25.101 final rule], routes federal demand toward suppliers who can certify domestic origin. The combined effect is a deliberate policy executed through the largest single buyer in the economy: federal prime contract obligations ran to roughly $774 billion in FY2025 [VERIFY: USAspending.gov spending explorer]. When both levers pull the same direction, the winners are not subtle. Obligations flowing to domestic steel and metal-fabrication industry codes rose roughly 22% year over year in the first half of FY2026 [VERIFY: USAspending.gov award search by NAICS 331/332], even as overall obligation growth stayed in the single digits.
The agency mix matters as much as the total. Defense dominates the flows into tariff-adjacent supplier groups, which is unsurprising given both its budget share and its statutory domestic-sourcing requirements. But the civilian side is growing faster in percentage terms: Department of Transportation obligations tied to Infrastructure Investment and Jobs Act projects carry Build America, Buy America domestic content requirements [VERIFY: FHWA apportionment data; BABA statute], and General Services Administration buying has shifted toward domestically assembled hardware where certified options exist. One caveat applies to every figure in this section: USAspending obligation data lags award decisions and gets revised, so first-half FY2026 numbers are provisional by construction [VERIFY: USAspending data documentation].
FIG. 1 · WHERE THE FEDERAL DOLLARS REROUTED
DRAFT RECONSTRUCTION · FY2026 H1 PRIME OBLIGATIONS TO TARIFF-ADJACENT SUPPLIER GROUPS · RIBBON WIDTH = OBLIGATED VALUE ($M) · DEFENSE DOMINATES, CIVILIAN AGENCIES GROW FASTER. CLICK A RIBBON FOR THE RECORD.
Click a ribbon for its per-flow figure. All values draft pending verification.
RIBBON WIDTH = DISCLOSED DEAL VALUE · MINIMUM WIDTH = SURVIVAL / UNDISCLOSED · ≈ = ESTIMATED
Winners: mills, fabricators, and yellow iron
The cleanest winners sit at the intersection of tariff-protected pricing and federal demand. After the June 2025 proclamation took Section 232 steel and aluminum tariffs to 50% [VERIFY: Federal Register], benchmark US hot-rolled coil rose roughly 30% over the following months [VERIFY: CRU / SteelBenchmarker HRC series], a move visible in the metals components of the before it reached any consumer. Nucor and Steel Dynamics, among the largest US-based producers by domestic capacity [VERIFY: company 10-Ks; AISI], captured that spread directly: Nucor's realized mill pricing and mill segment earnings rose in the quarters after the step-up [VERIFY: Nucor 10-Q], and Steel Dynamics' fabrication segment sells joists and deck into exactly the nonresidential and public construction pipeline that federal and IIJA money funds [VERIFY: STLD 10-K].
Two qualifications keep the winner story honest. First, direct federal demand is a small share of total US steel end-use, on the order of single digits even counting infrastructure pass-through [VERIFY: AISI end-use data; FHWA estimates]; the tariff price effect, not the contract flow itself, does most of the earnings work for the mills. Second, not every protected producer is positioned alike: Cleveland-Cliffs, the largest flat-rolled supplier to the US auto industry [VERIFY: CLF 10-K], gets the same price umbrella but carries materially higher leverage than Nucor or Steel Dynamics [VERIFY: latest 10-Q balance sheets], which converts the same tailwind into a higher-beta equity.
The map of the money: state concentration
Federal contract dollars are not evenly spread, and the tariff-era reallocation is amplifying an already lopsided map. Virginia leads all states in prime contract obligations, powered by defense and professional services around the Washington metro [VERIFY: USAspending state profiles], with California, Texas, Maryland, and Florida rounding out a top five that captures roughly 45% of the national total [VERIFY: USAspending, computed share]. For investors the map is a reading in both directions: contractors clustered in those states have the deepest federal revenue exposure, and the mill-and-fabrication states of the industrial Midwest and South (Indiana, Ohio, Alabama, the Carolinas) are where the tariff-plus-procurement tailwind lands in physical payrolls rather than filings [VERIFY: USAspending state profiles].
FIG. 2 · THE FEDERAL CONTRACT MAP, SHADED
DRAFT · FY2026 H1 PRIME CONTRACT OBLIGATIONS BY STATE, $B · ONE TILE PER STATE AT ROUGH MAP POSITION · SHADED BY OBLIGATION CLASS.
Each tile is a state; colour is its obligation band, placement is rough geography.
Losers: the import-dependent margin squeeze
The loser ledger is written in 10-Q language rather than award notices. Walmart, whose US cost of goods is roughly one-third tied to imported merchandise concentrated in general-merchandise categories [VERIFY: Walmart 10-K risk factors; company statements], told investors it could not absorb all tariff costs and would raise some prices, with CFO John David Rainey making the point explicitly on the FY2026 first-quarter call [VERIFY: call transcript, May 2025]. Target disclosed gross margin compression of roughly 60 basis points year over year in the quarter spanning the tariff step-up, citing imported general merchandise [VERIFY: Target 10-Q and earnings call]. Best Buy, whose consumer-electronics assortment is overwhelmingly imported, cut annual guidance on tariff-driven cost of goods pressure [VERIFY: Best Buy 10-Q and guidance updates]. Every major import channel from East Asia now passes through the same repriced : the customs line where the new schedules are collected.
We have not seen a cost increase of this speed and magnitude before, and while we will absorb what we can, we are not able to absorb all of it.
— Paraphrase of Walmart executive remarks, FY2026 Q1 earnings call, May 2025 [VERIFY: transcript before publication]
The damage also arrives on a delay, which matters for anyone reading quarterly prints. Retailers front-loaded imports ahead of announced effective dates, lifting inventories in the affected quarters [VERIFY: company 10-Q inventory disclosures; NRF port data], so pre-tariff stock sold through at old costs before the tariffed cost basis reached the income statement [VERIFY: inventory accounting timing]. That lag means the margin trough for the import-dependent cohort lands quarters after the headline tariff date, and screening on the first post-tariff print systematically understates the eventual hit.
The mixed cases: machinery on both sides of the wall
Caterpillar and Deere complicate the clean winner-loser split because they sit on both sides of it. Each benefits from tariff-protected end markets and from public construction demand, and each pays tariffs on imported components and steel inputs: Caterpillar guided to a net tariff cost headwind of roughly $1.5 billion for calendar 2025 [VERIFY: Q2 2025 earnings call and 10-Q], and Deere guided to a pre-tax impact of roughly $600 million for fiscal 2025 [VERIFY: Q3 FY2025 call and 10-Q]. The exclusion processes that softened the 2018-19 Section 301 rounds have run narrower this time [VERIFY: USTR exclusion notices, 2025-26 vs 2018-19], so less of that component cost is being waived away. The net position is genuinely mixed: federal and IIJA-linked equipment demand flows toward them through the channels in FIG. 1, while roughly $2.1 billion of combined guided tariff cost flows against them [VERIFY: company guidance].
FIG. 3 · THE LEDGER, NAME BY NAME
DRAFT · NAME · POSITION ON THE TARIFF-CONTRACT LEDGER · ANCHOR FIGURE · KEY CAVEAT. ALL FIGURES PENDING VERIFICATION. CLICK A ROW FOR THE DOSSIER.
Winners, losers, and mixed cases; expand a row for the record.
How to frame the trade
For investors, the two ledgers reduce to a with a policy trigger rather than a macro one. The winner basket (NUE, STLD, and with the leverage asterisk CLF) is a bet that the 50% Section 232 rate and the Buy American ratchet both persist [VERIFY: Federal Register; FAR 25.101]; the mixed machinery pair (CAT, DE) is a spread trade on whether federal demand outruns roughly $2.1 billion of guided input cost [VERIFY: company calls]; the loser cohort (WMT, TGT, BBY) is a short-margin, long-lag story where the worst prints are plausibly still ahead as pre-tariff inventory exhausts [VERIFY: 10-Q inventory disclosures]. The single most useful discipline is to date every data point: USAspending obligations lag awards and get revised [VERIFY: USAspending documentation], and retail margin damage lags the tariff calendar by quarters, so the two ledgers are never in sync on the same reporting date.
The base case is that the tariff wall outlasts the current appropriations cycle and the procurement ratchet keeps tightening toward the 75% domestic-content threshold [VERIFY: FAR 25.101 final rule], which keeps both ledgers moving in the directions this article maps. The bear case for the winner basket is a negotiated de-escalation that collapses the steel price umbrella faster than contract flow can replace it; the bear case for shorting the losers is that scale retailers pass through enough cost to stabilize margins while smaller rivals exit. Ezana users can track both sides from the platform: the political-intelligence feed surfaces tariff schedule changes and federal award flows as they post, and the quant workbench can backtest the winner-loser spread against the tariff calendar rather than the market calendar, which is where this dataset's real edge lives.
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