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Phillips 6610-Q: Margin pressure

Commodity volatility creates potential $647M pre-tax income swing

What happened

Elevated commodity price volatility has increased the company's Value at Risk (VaR). A hypothetical 10% change in commodity prices could impact income before taxes by approximately $647 million, creating a significant need for advanced risk management and hedging solutions.

Source

SEC EDGARApr 29, 2026

Quarterly report (Form 10-Q)

Phillips 66 10-Q

Filing excerpt

As a result of the elevated commodity price volatility driven by ongoing conflict in the Middle East, the VaR using Monte Carlo simulation with a 95% confidence level and a one-day holding period for derivative commodity instruments issued or held at March 31, 2026, increased compared with those instruments held at December 31, 2025.

sec.gov/Archives/edgar/data/1534701/000153470126000022/psx-20260331.htmRead the full source

Other signals in this filing (6)

Extracted by Autobound

From the Signal API record
Signal
10-Q: Margin pressure

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

Fiscal year end
03/31
Filed
Apr 29, 2026

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The full record

From the Signal API record

Numbers

Dollar figure
$647M (Potential reduction in income before taxes from a hypothetical 10% increase in commodity market prices.)
Percent
10% (Hypothetical increase in market prices of commodities.)

Details

CIK
1534701
Accession number
0001534701-26-000022
Timeframe
Current quarter
Filing year
2026
Fiscal year
0
Why it matters
Efficiency tools needed
Signal category
Financial

Topics and mentions

Technologies

  • Value at Risk (VaR)
  • Monte Carlo simulation

Extraction

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

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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/59d764f4-782f-4f87-825e-9b7d36211c40 returns this record as JSON. POST /v1/companies/enrich returns every signal for phillips66.com.

{
  "signal_id": "59d764f4-782f-4f87-825e-9b7d36211c40",
  "signal_type": "sec-10q",
  "signal_subtype": "marginPressure",
  "detected_at": "2026-05-05T08:48:22.822+00:00",
  "company": {
    "name": "Phillips 66",
    "domain": "phillips66.com"
  },
  "data": {
    "detail": "Elevated commodity price volatility has increased the company's Value at Risk (VaR). A hypothetical 10% change in commodity prices could impact income before taxes by approximately $647 million, creating a significant need for advanced risk management and hedging solutions.",
    "metrics": {
      "pct": 0.1,
      "timeframe": "current_quarter",
      "pct_context": "Hypothetical increase in market prices of commodities.",
      "dollar_context": "Potential reduction in income before taxes from a hypothetical 10% increase in commodity market prices.",
      "dollar_millions": 647
    },
    "summary": "Commodity volatility creates potential $647M pre-tax income swing",
    "excerpts": "As a result of the elevated commodity price volatility driven by ongoing conflict in the Middle East, the VaR using Monte Carlo simulation with a 95% confidence level and a one-day holding period for derivative commodity instruments issued or held at March 31, 2026, increased compared with those instruments held at December 31, 2025.",
    "relevance": 0.8,
    "sentiment": "negative",
    "confidence": "high",
    "source_url": "https://www.sec.gov/Archives/edgar/data/1534701/000153470126000022/psx-20260331.htm",
    "filing_date": "2026-04-29",
    "filing_year": 2026,
    "fiscal_year": 0,
    "fiscal_year_end": "03/31",
    "sales_relevance": "Efficiency tools needed",
    "signal_category": "financial",
    "technologies_mentioned": [
      "Value at Risk (VaR)",
      "Monte Carlo simulation"
    ]
  }
}

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