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State Street10-Q: Software implementation

State Street reports a $2.06 billion backlog in software and SaaS performance obligations.

What happened

The company has a significant $2.06 billion in future revenue tied to software license sales and SaaS, indicating a deep operational dependency on their technology platforms. Any inefficiency or risk in their software delivery or SaaS infrastructure could directly impact a large, committed revenue stream, suggesting a need for robust platform management and security.

Source

SEC EDGARApr 29, 2026

Quarterly report (Form 10-Q)

State Street 10-Q

Filing excerpt

As of March 31, 2026, total remaining non-cancellable performance obligations for services and products not yet delivered, primarily comprised of software license sales and SaaS, were approximately $2.06 billion.

sec.gov/Archives/edgar/data/93751/000009375126000196/stt-20260331.htmRead the full source

Other signals in this filing (5)

Extracted by Autobound

From the Signal API record
Signal
10-Q: Software implementation

What this signalsFilings often name leadership changes, deals and spending plans.

Fiscal year end
03/31
Filed
Apr 29, 2026

More 10-Q signals at other companies

The full record

From the Signal API record

Numbers

Dollar figure
$2.1B (Total remaining non-cancellable performance obligations for services and products not yet delivered, primarily comprised of software license sales and SaaS)

Details

CIK
93751
Accession number
0000093751-26-000196
Filing year
2026
Fiscal year
0
Why it matters
Implementation partner opportunity
Signal category
Technology

Topics and mentions

Technologies

  • SaaS
  • software

Extraction

Confidence
High
Relevance
80%
Sentiment
Positive
Detected
May 5, 2026
signal_type
sec-10q
signal_subtype
softwareImplementation

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The API returns more than this page shows

This page shows a preview. The full sec-10q 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 API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/170cf644-ee4a-44ee-85c4-dd2396d73b1a returns this record as JSON. POST /v1/companies/enrich returns every signal for statestreet.com.

{
  "signal_id": "170cf644-ee4a-44ee-85c4-dd2396d73b1a",
  "signal_type": "sec-10q",
  "signal_subtype": "softwareImplementation",
  "detected_at": "2026-05-05T08:48:22.19+00:00",
  "company": {
    "name": "State Street",
    "domain": "statestreet.com"
  },
  "data": {
    "detail": "The company has a significant $2.06 billion in future revenue tied to software license sales and SaaS, indicating a deep operational dependency on their technology platforms. Any inefficiency or risk in their software delivery or SaaS infrastructure could directly impact a large, committed revenue stream, suggesting a need for robust platform management and security.",
    "metrics": {
      "dollar_context": "Total remaining non-cancellable performance obligations for services and products not yet delivered, primarily comprised of software license sales and SaaS",
      "dollar_millions": 2060
    },
    "summary": "State Street reports a $2.06 billion backlog in software and SaaS performance obligations.",
    "excerpts": "As of March 31, 2026, total remaining non-cancellable performance obligations for services and products not yet delivered, primarily comprised of software license sales and SaaS, were approximately $2.06 billion.",
    "relevance": 0.8,
    "sentiment": "positive",
    "confidence": "high",
    "source_url": "https://www.sec.gov/Archives/edgar/data/93751/000009375126000196/stt-20260331.htm",
    "filing_date": "2026-04-29",
    "filing_year": 2026,
    "fiscal_year": 0,
    "fiscal_year_end": "03/31",
    "sales_relevance": "Implementation partner opportunity",
    "signal_category": "technology",
    "technologies_mentioned": [
      "SaaS",
      "software"
    ]
  }
}

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