The company has set a formal target to reduce absolute Scope 1 and 2 GHG emissions by 28% by 2030 from a 2019 baseline, and achieve net-zero by 2050. This commitment will require investments in technology, energy efficiency, and operational changes across their portfolio.
Filing excerpt
Our target aims to reduce our absolute Scope 1 and 2 GHG emissions by 28% by 2030, measured against a 2019 baseline year, and to achieve net-zero Scope 1 and 2 GHG emissions across all operations by 2050.
What this signalsFilings often name leadership changes, deals and spending plans.
Regions named
sec-10kcarbonCommitmentGet every 10-K signal for Regency Centers and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Regency Centers this week?”
The Signal API returns 10-K signals for any list of companies as JSON, for your CRM, warehouse or app.
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This page shows a preview. The full sec-10k record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.
Company
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIGET /v1/signals/cba87cef-8688-4e78-9da7-1dd1d4eda4c2 returns this record as JSON. POST /v1/companies/enrich returns every signal for regencycenters.com.
{
"signal_id": "cba87cef-8688-4e78-9da7-1dd1d4eda4c2",
"signal_type": "sec-10k",
"signal_subtype": "carbonCommitment",
"detected_at": "2026-02-17T06:36:11.696+00:00",
"company": {
"name": "Regency Centers",
"domain": "regencycenters.com"
},
"data": {
"detail": "The company has set a formal target to reduce absolute Scope 1 and 2 GHG emissions by 28% by 2030 from a 2019 baseline, and achieve net-zero by 2050. This commitment will require investments in technology, energy efficiency, and operational changes across their portfolio.",
"metrics": {
"pct": 0.28,
"timeframe": "multi_year",
"pct_context": "Target reduction in absolute Scope 1 and 2 GHG emissions by 2030"
},
"summary": "Regency Centers commits to 28% GHG emissions reduction by 2030 and net-zero by 2050",
"excerpts": "Our target aims to reduce our absolute Scope 1 and 2 GHG emissions by 28% by 2030, measured against a 2019 baseline year, and to achieve net-zero Scope 1 and 2 GHG emissions across all operations by 2050.",
"relevance": 0.85,
"sentiment": "neutral",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/910606/000119312526051668/reg-20251231.htm",
"filing_date": "2026-02-13",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Carbon accounting tools",
"signal_category": "esg",
"regions_mentioned": [
"United States"
]
}
}
curl https://signals.autobound.ai/v1/signals/cba87cef-8688-4e78-9da7-1dd1d4eda4c2 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"regencycenters.com","limit":20}'Long text fields are shortened on this page.
Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.