US Treasury Daily Yield Curve Rates

One number for every length of time the US government borrows money, repriced every business day. The Treasury publishes par yield curve rates - the quoted yield at constant maturities from 1 month out to 30 years - and this record holds the full curve, not a single tenor: 15 par-yield maturities per row, alongside bank-discount and coupon-equivalent pairs for the 6-, 8-, 17- and 52-week bills.

Verification during the August 2026 cataloging pass found the 2026 file holding 160 rows, 01/02/2026 through 08/20/2026 - every trading day of the year landing on schedule - and prior years retrievable back to the 1990s. Datadory scores it 9 out of 10 on its quality rubric, above the 7.81 average across the 1,744-dataset catalog, with field definitions marked verified against live captures. Get a sample of this dataset - name your start date and your tenors, and the extract comes back shaped around them.

One captured day beats a paragraph of specification. These are real rows read off the 2026 file during verification - the first trading day of the year and the latest verified quote:

date   : 08/20/2026
1 Mo   : 3.80       # short end - the financing-cost anchor
2 Yr   : 4.19
10 Yr  : 4.69       # standard REIT discount-rate input
30 Yr  : 5.23       # long end - terminal cap-rate floor

date   : 01/02/2026
1 Mo   : 3.72
2 Yr   : 3.47
10 Yr  : 4.19
30 Yr  : 4.86

Two dates tell the story of the year to that point: the short end barely moved (+8 bps at the 1-month), while the 30-year rose 37 basis points and the 10-year rose 50. For an industrial REIT analyst that single comparison reprices everything - higher discount rates compress today's value of tomorrow's rent stream before a single lease changes hands. About 250 rows land per year at roughly 13 KB apiece for a calendar-year cut, so a decade of daily curve history fits where a spreadsheet lives.

Five exampled fields form the core grid, all drawn from live captures during the August 2026 pass: the quote Date plus percent par yields at 1 Mo, 2 Yr, 10 Yr and 30 Yr - chosen as the corners analysts touch most, with the 10 Yr flagged in the dictionary itself as the standard REIT discount-rate input.

The full published table runs wider. Ten more par-yield maturities ride along on every row (1.5 Mo, 2 Mo, 3 Mo, 4 Mo, 6 Mo, 1 Yr, 3 Yr, 5 Yr, 7 Yr, 20 Yr), together with the Treasury-bill bank-discount and coupon-equivalent pairs - the twenty-six header cells the source page renders. They sit under additional fields on request, alongside derived columns we build on top: 10Y-2Y and other curve spreads, interpolated forwards, and annual averages. Field-definition confidence is verified, matching the 1,495 of 1,744 datasets (85.7%) in the catalog confirmed against live sources.

Geography - the United States, and deliberately so. This is the sovereign curve itself: the closest thing markets have to a risk-free benchmark, which is exactly why it anchors industrial REIT valuation regardless of which coast or metro the buildings stand in.

Temporal - daily business-day observations with unusual depth. The 2026 file verified at 160 rows through 08/20/2026, and prior years come down through the same pattern reaching back to the 1990s, giving three decades of curve history for backtests and long-run cap-rate studies. Freshness matches the cadence: one row appended each business day after market close. Only 395 of the cataloged datasets (22.6%) update daily; this is one of them.

Granularity - one row per business day, 15 par-yield maturities per row plus the bill bank-discount and coupon-equivalent columns. Values are percent; N/A marks a maturity unquoted that day. A calendar year runs about 250 rows (~13 KB) - small enough to hold entirely in memory, complete enough to interpolate any tenor in between.

API, files, or your warehouse. Daily, weekly, or hourly.

You pick the channel and the cadence; the field dictionary above travels unchanged through all three. Rows arrive flattened - one date, one column per maturity, percent values ready to divide into discount factors - so joining the curve against REIT price histories, cap-rate comps or lease events is a join statement rather than a scraping project. Cadence changes are a settings conversation, not a re-integration, and a sample cut to your named date range comes first either way.

• REIT NAV and DCF valuation - the 10-year yield is the discount-rate input most industrial REIT models hang their cash flows on; daily dating makes every assumption auditable. See the industrial REITs workflows for investors & quants.
• Cap-rate spread monitoring - subtract the curve from observed industrial cap rates and the residual isolates the risk premium, separating rate-driven repricing from genuine market re-rating. One of 11 cataloged datasets serving quant backtesting.
• Debt-cost and refinancing modeling - short-end quotes price the reset cost on floating-rate warehouse loans; the 3.80-to-5.23 span on 08/20/2026 is the fixed-versus-floating decision in two numbers.
• Curve-slope macro features - 15 maturities a day turn slope, curvature and inversion into computed columns for ML pipelines and regime switches; part of the shelf serving ML model training.
• Citation-grade context - figures trace to the US government's own publication, which is why they hold up in committee memos, prospectuses and news charts; see citation grade research.

Ranked by relevance in Datadory's persona tagging:

1. Investors & Quant Researchers (relevance 3): the discount rate, dated daily and reaching back decades, behind valuation, backtesting and factor screens.
2. Developers & Data-Product Builders (relevance 3): a small stable schema, one row per business day, that drops into any rate-aware application - developers & builders x industrial REITs.
3. Journalists, Academics & Students (relevance 3): official government par yields citable without a sourcing argument.
4. Data Scientists & ML Engineers (relevance 2): level, slope and inversion flags as clean exogenous features - data scientists x industrial REITs.
5. Market Researchers & Consultants (relevance 2): the recognized benchmark framing cap-rate and financing discussions - market researchers x industrial REITs.
6. Competitive Intelligence & Product Teams (relevance 1): the financing-cost backdrop shaping rivals' acquisition appetite - competitive intel x industrial REITs.

The Industrial REITs neighborhood splits the job by vantage point, and this is the only pure rates series among the industry's 15 cataloged datasets. Nareit T-Tracker measures what listed industrial REITs earned - funds from operations, NOI, occupancy - so subtracting the curve from its cap-rate variables tracks spread compression quarter by quarter; the head-to-head runs in vs Nareit T-Tracker. SEC EDGAR XBRL companyfacts API supplies the cash flows worth discounting - pair them and you hold both sides of a NAV model. Cushman & Wakefield US Industrial MarketBeat reads the buildings themselves, and Nareit historical REIT returns provides the total-return tape to regress the curve against. All of them, ranked and cross-linked, sit in the industrial reits data hub; the U.S. Department of the Treasury source profile covers the publisher.