Retained Earnings (Accumulated Deficit) of Bausch & Lomb Corp from 31 Dec 2021 to 31 Dec 2025

Taxonomy & unit
us-gaap: USD
Description
The cumulative amount of the reporting entity's undistributed earnings or deficit.
Summary
Bausch & Lomb Corp quarterly Retained Earnings (Accumulated Deficit) in USD history and change rate from 31 Dec 2021 to 31 Dec 2025.
  • Bausch & Lomb Corp Retained Earnings (Accumulated Deficit) for the quarter ending 31 Dec 2025 was $931,000,000, a 63% decline year-over-year.
Source SEC data
View on sec.gov
Retained Earnings (Accumulated Deficit), Quarterly (USD)
Retained Earnings (Accumulated Deficit), YoY Quarterly Change (%)

Bausch & Lomb Corp Quarterly Retained Earnings (Accumulated Deficit) (USD)

Period Value YoY Chg Change % Date Report Filed Fiscal Year Fiscal Period
Q4 2025 $931,000,000 -$360,000,000 -63% 31 Dec 2025 10-K 18 Feb 2026 2025 FY
Q3 2025 $873,000,000 -$305,000,000 -54% 30 Sep 2025 10-Q 29 Oct 2025 2025 Q3
Q2 2025 $845,000,000 -$273,000,000 -48% 30 Jun 2025 10-Q 30 Jul 2025 2025 Q2
Q1 2025 $783,000,000 -$362,000,000 -86% 31 Mar 2025 10-Q 30 Apr 2025 2025 Q1
Q4 2024 $571,000,000 -$317,000,000 -125% 31 Dec 2024 10-K 18 Feb 2026 2025 FY
Q3 2024 $568,000,000 -$368,000,000 -184% 30 Sep 2024 10-Q 30 Oct 2024 2024 Q3
Q2 2024 $572,000,000 -$456,000,000 -393% 30 Jun 2024 10-Q 01 Aug 2024 2024 Q2
Q1 2024 $421,000,000 -$337,000,000 -401% 31 Mar 2024 10-Q 01 May 2024 2024 Q1
Q4 2023 $254,000,000 -$260,000,000 -4333% 31 Dec 2023 10-K 19 Feb 2025 2024 FY
Q3 2023 $200,000,000 -$207,000,000 -2957% 30 Sep 2023 10-Q 01 Nov 2023 2023 Q3
Q2 2023 $116,000,000 -$141,000,000 -564% 30 Jun 2023 10-Q 02 Aug 2023 2023 Q2
Q1 2023 $84,000,000 -$104,000,000 -520% 31 Mar 2023 10-Q 03 May 2023 2023 Q1
Q4 2022 $6,000,000 +$6,000,000 31 Dec 2022 10-K 21 Feb 2024 2023 FY
Q3 2022 $7,000,000 30 Sep 2022 10-Q 02 Nov 2022 2022 Q3
Q2 2022 $25,000,000 30 Jun 2022 10-Q 04 Aug 2022 2022 Q2
Q1 2022 $20,000,000 31 Mar 2022 10-Q 08 Jun 2022 2022 Q1
Q4 2021 $0 31 Dec 2021 10-K 22 Feb 2023 2022 FY
* An asterisk sign (*) next to the value indicates that the value is likely invalid.