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Piedmont Realty Trust, Inc.: operating lease liability

Operating lease liability for Piedmont Realty Trust, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Piedmont Realty Trust, Inc. financial histories

What this measure means

Present value of remaining operating lease payments. Discount-rate choices and lease terms affect the amount; it is not the sum of undiscounted future rent.

Exact concept: us-gaap:OperatingLeaseLiability. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2019-12-31 to 2023-12-31. The SEC response was captured on 2026-09-20.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Reading these values

This selected numerical history matches Operating lease right-of-use asset for the same reporting intervals and original units. The accounting definitions remain distinct. Equal values do not establish that the concepts are interchangeable or explain why they match; filing dates and accessions may differ. Compare the definitions and source filings before combining them.

Selected filing history

Operating lease liability in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2023-12-31100,000USD2024-02-2010-K · 0001042776-24-000033
At date2022-12-31200,000USD2024-02-2010-K · 0001042776-24-000033
At date2021-12-31100,000USD2023-02-2310-K · 0001042776-23-000063
At date2020-12-31200,000USD2022-02-1710-K · 0001042776-22-000061
At date2019-12-31200,000USD2021-02-1710-K · 0001042776-21-000032

Related financial histories

Inspect the source

Entity
Piedmont Realty Trust, Inc. / CIK 0001042776
Captured
2026-09-20T05:16:13.040Z
SEC response SHA-256
21f11cfa6a23af856a46b7bad958f83eaa6093da9b04336a7e2e81aea6a41d25

Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON

Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.

Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.

Use this in research

A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.

These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.

Research methodology · Execution and cost assumptions · Check backtest overfitting

Build with the open-source tools

Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0001042776.json") as response:
    record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
    print(concept["tag"], next(iter(concept["observations"])))