Is there a free API for timber REIT fundamentals? Delivered as one feed

A serious answer carries all three ledgers, because desks that buy only the first discover the second missing at sanity-check time and the third absent at comps time. Datadory packages them as one shelf - 12 datasets for this industry, eight primary records plus four related entries pooled in from neighboring slices - a shape rare among the 159 industries in our catalog, and rarer still because both halves of the asset grade 9 on our rubric. Start with a sample cut to your tickers, concepts and states; the rest of this page walks the stack layer by layer.

The anchor record is the SEC EDGAR XBRL Company Facts API — Weyerhaeuser (CIK 106535): one document per registrant holding every structured number the company has ever tagged in its filings - roughly 3.5 MB apiece, carrying 662 us-gaap concepts for Weyerhaeuser, 620 for Rayonier and 506 for PotlatchDeltic, with Rayonier Advanced Materials resolving through the identical schema at CIK 1597672. Four registrants, one shared vocabulary, zero bespoke parsers - see XBRL company facts for how the structure works and CIK identifier for why these records key on the CIK and treat exchange tickers as display text.

Two properties make this the right spine for point-in-time work. First, every fact repeats once per filing that reports it, so a restated quarter arrives as another dated vintage instead of silently overwriting history - as-reported series become a filter operation, not a rebuild project, which is what keeps look-ahead leakage out of backtests. Second, every retained value keeps its accession number, form type, fiscal period and filed date, which is precisely what published citations and audit trails ask for six months later. Tagged periods reach from roughly 2009, when structured reporting became mandatory, onward - with comparatives running deeper wherever a filer tagged early, so panel construction scopes per issuer and per concept rather than assuming uniform start dates.

The screenable timberland narrative sits inside the standard us-gaap vocabulary rather than bespoke extensions, which is why one parser serves the whole sector:

One boundary matters more here than in most sectors: tags carry what filers tag. Funds from operations has no us-gaap concept because it is not a GAAP line item, so FFO-style measures arrive derived from the components this record does carry - net income, depreciation, depletion - rather than as ready-made tags. Everything above survives restatements intact, because the original vintage stays beside the revised one.

Book values are accounting constructs; the woods are not. Two records make the audit a join rather than a research project.

The USDA Forest Service FIA DataMart is America's standing forest census: plot-, condition-, seedling-, tree- and population-level tables spanning all 50 states plus territories, organized as roughly 59 table types per state. Grain is the selling point - the PLOT table runs 63 columns of identification, coordinates and elevation while TREE carries 105 columns per individual stem, from species code and diameter through net cubic-foot volume, joined through CN keys (TREE.PLT_CN references PLOT.CN) and rolled up through counties and survey units to evaluation units with sampling errors attached. Observed collections run from mid-1980s panels into current cycles, a single state's TREE table can reach 541 MB (Alabama), and public plot coordinates are deliberately fuzzed below plot number 40,000 - worth knowing before anyone promises a map of somebody else's timberland.

The FAO Forest Product Statistics record supplies the demand side: 2,457,869 annual rows covering 104 product items across roughly 285 areas from 1961 to 2024 - roundwood, sawnwood, panels, wood pulp, recovered paper and paperboard as production, import and export quantities and values in cubic metres, tonnes or thousand-US-dollar units, each observation carrying an A-through-F quality flag so official figures separate cleanly from estimates, imputations and forecasts.

Together they turn the reconciliation unique to this slice into routine: disclosed balances against measured standing inventory near the holding, depletion charges against removals and production, disclosed acreage against what the plots say is actually there. The two statistical records are scored side by side in the FAO vs FIA comparison.

Layer by layer, because the layers do not share a starting line:

• Tagged fundamentals: from roughly 2009, when structured reporting became mandatory, with comparatives reaching deeper wherever a filer tagged early - scope per issuer and per concept instead of assuming uniform starts.
• Price history: about 13,000 WY sessions back to 1973; RYN bars to the 1997 spinoff era; intraday intervals available where the tape supports them.
• World wood flows: unbroken annual observations from 1961 through 2024.
• Forest inventory: observed collections from the mid-1980s into current cycles, annualized statewide since roughly 2004 in most states.

Assembled deliberately, that is six decades of trade context and five decades of price tape beneath two decades of machine-readable fundamentals - enough to test whether today's multiples look anything like the ones the last timber bull market earned, and to do it without a single hand-collected filing.

Four grains, arriving together - which is the whole integration problem in one glance:

# filing-grade fact - instant balance
cik       : 106535            entityName : WEYERHAEUSER COMPANY
concept   : TimberAndTimberlands          unit : USD
end       : 2018-12-31        val        : 12671000000
accn      : 0000106535-19-000014          form : 10-K   filed : 2019-02-15

# filing-grade fact - duration income line
concept   : RevenueFromContractWithCustomerExcludingAssessedTax
start     : 2011-01-01        end : 2011-12-31    val : 6216000000
frame     : CY2011

# ground truth - one stem in the national inventory
table : AL_TREE   PLT_CN : 157499420010854   STATUSCD : 1
SPCD  : 693       DIA    : 10.2              VOLCFNET : 6.573

# wood flow - country x product x element x year
area   : United States of America    year : 2000
item   : Wood, pulp and paper products (export/import)
element: Import value                unit : 1000 USD
value  : 44754144.000000             flag : E

# market row - one session plus the payout fields
last_price          : 24.535         volume : 5510643
fifty_two_week_band : 21.16-27.75    fwd_dividend_and_yield : 0.84 (3.41%)

Each row keeps its own unit, period and provenance stamp - dollars here, acres there, an accession number on every filing fact, a quality flag on every trade row - so the layers stack without lying to each other. That discipline is what lets one table hold a 10-K's timberland balance, the stems standing near the holding, the wood flowing out of the region and the multiple the market currently pays for all of it.

Ranked by how directly the stack answers their day job:

Because reconciliation is the product. Four upstream publishers describe one asset in four shapes - a filings vocabulary, a census schema, a statistical ledger, several flavors of quote surface - and a desk that stitches them inherits the seams: unit mismatches between dollars, acres, cubic metres and tonnes, concept drift between filers, quote schemas that differ ticker to ticker. Datadory resolves that upstream, so a timberland question reads off one typed row instead of four reconciliations, and terms are settled between us rather than negotiated mid-integration - ask about them alongside your sample.

The slice earns its keep on quality, not just convenience: the fundamentals, inventory and trade records each grade 9 on our rubric against a cross-catalog mean of 7.81 across all 1,744 datasets we catalog, lifting this narrow slice to an 8.0 average across its eight primary records - unusual strength for a specialty industry, and the reason the hub can route almost any timberland question inside one catalog. Every claim on this page traces to a record page with sample rows, a field dictionary and coverage chips; nothing rests on assertion.

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

Start with the record that answers the question. Statement-line fundamentals want the SEC EDGAR XBRL Company Facts record; the ground wants the FIA DataMart; world wood flows want FAO Forest Product Statistics; the tape wants the Weyerhaeuser and Rayonier quote histories. Publisher context lives on the source profiles for the SEC, USDA Forest Service, FAO and Yahoo Finance.