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DENTSPLY SIRONA Inc.: operating income or loss

Operating income or loss for DENTSPLY SIRONA Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All DENTSPLY SIRONA Inc. financial histories

What this measure means

Operating revenue less operating expenses for the reporting period. It excludes items outside the reported operating result and is not free cash flow.

Exact concept: us-gaap:OperatingIncomeLoss. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2007-01-01 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Operating income or loss in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-31-422,000,000USD2026-02-2610-K · 0000818479-26-000075
2024-01-012024-12-31-879,000,000USD2026-02-2610-K · 0000818479-26-000075
2023-01-012023-12-31-85,000,000USD2026-02-2610-K · 0000818479-26-000075
2022-01-012022-12-31-937,000,000USD2025-02-2710-K · 0000818479-25-000035
2021-01-012021-12-31608,000,000USD2024-02-2910-K · 0000818479-24-000021
2020-01-012020-12-31-3,000,000USD2023-08-0710-K/A · 0000818479-23-000062
2019-01-012019-12-31353,000,000USD2022-11-0710-K/A · 0001140361-22-040131
2018-01-012018-12-31-958,000,000USD2021-03-0110-K · 0000818479-21-000007
2017-01-012017-12-31-1,562,300,000USD2020-03-0210-K · 0000818479-20-000006
2016-01-012016-12-31454,700,000USD2019-03-0810-K · 0000818479-19-000010
2015-01-012015-12-31375,200,000USD2018-03-1510-K · 0000818479-18-000014
2014-01-012014-12-31445,600,000USD2017-03-0110-K · 0000818479-17-000007
2013-01-012013-12-31419,200,000USD2016-02-1210-K · 0000818479-16-000056
2012-01-012012-12-31381,939,000USD2015-02-2010-K · 0000818479-15-000005
2011-01-012011-12-31300,728,000USD2014-02-2010-K · 0000818479-14-000004
2010-01-012010-12-31380,273,000USD2013-02-2010-K · 0000818479-13-000008
2009-01-012009-12-31381,243,000USD2012-02-2410-K · 0001445305-12-000446
2008-01-012008-12-31380,461,000USD2011-02-1810-K · 0001144204-11-009910
2007-01-012007-12-31354,891,000USD2010-02-2210-K · 0001144204-10-009164

Related financial histories

Inspect the source

Entity
DENTSPLY SIRONA Inc. / CIK 0000818479
Captured
2026-09-19T15:07:03.782Z
SEC response SHA-256
f6c1bd37486e91a38a99cf9ec5d3b97006986f8446a04bec87caec0cbf411fb5

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/0000818479.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"])))