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Constellation BrandsIndustry prediction

Beernet Radio discusses Constellation Brands: industry prediction

Source

Beernet RadioJun 18, 2026

Beernet Radio

Ep. 338 Kaumil Gajrawala of Jefferies

What was said

I do think that typical consumer works an eight-hour shift, blue-collar, hard day, goes to the bar, with friends, high-vis, still on, two Modellos, two tacos, then leaves... It was like the biggest area of fade. And I feel like they're now starting to come back and feel a little more comfortable to go out.

podcasters.spotify.com/pod/show/beernetradio/episodes/Ep--338-Kaumil-...Read the full source

Quotes from the episode

  • “I do think that typical consumer works an eight-hour shift, blue-collar, hard day, goes to the bar, with friends, high-vis, still on, two Modellos, two tacos, then leaves... It was like the biggest area of fade. And I feel like they're now starting to come back and feel a little more comfortable to go out.”

    Kaumil GajrawalaBeernet RadioView

  • “back in 2017-18, when they were making these investments into canopy growth, they said that their actuarial experts, staff, were projecting that liquor sales were going to drop significantly, that consumption would change, and that they were looking at getting on to the wave of the next intoxicants.”

    Kaumil GajrawalaBeernet RadioView

Extracted by Autobound

From the Signal API record
Signal
Industry prediction

What this signalsWhat leaders say on podcasts often shows their current priorities.

Podcast
Beernet Radio
Speaker
Kaumil Gajrawala
Speaker role
Third party
Event date
Jun 2026

Latest signals at other companies

The full record

From the Signal API record

People

  • Kaumil GajrawalaSpeaker (third party)

Details

Timing
Ongoing state
Recorded at estimate
2026-06

Extraction

Detected
Aug 24, 2026
signal_type
podcast-company
signal_subtype
industryPrediction

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The API returns more than this page shows

This page shows a preview. The full podcast-company 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/41dcf089-c205-5013-85b3-a866e7acdd9e returns this record as JSON. POST /v1/companies/enrich returns every signal for cbrands.com.

{
  "signal_id": "41dcf089-c205-5013-85b3-a866e7acdd9e",
  "signal_type": "podcast-company",
  "signal_subtype": "industryPrediction",
  "detected_at": "2026-08-24T10:24:52+00:00",
  "company": {
    "name": "Constellation Brands",
    "domain": "cbrands.com"
  },
  "data": {
    "is_ad": false,
    "quotes": [
      "I do think that typical consumer works an eight-hour shift, blue-collar, hard day, goes to the bar, with friends, high-vis, still on, two Modellos, two tacos, then leaves... It was like the biggest area of fade. And I feel like they're now starting to come back and feel a little more comfortable to go out.",
      "back in 2017-18, when they were making these investments into canopy growth, they said that their actuarial experts, staff, were projecting that liquor sales were going to drop significantly, that consumption would change, and that they were looking at getting on to the wave of the next intoxicants."
    ],
    "timing": "ongoing_state",
    "speaker": "Kaumil Gajrawala",
    "evidence": "I do think that typical consumer works an eight-hour shift, blue-collar, hard day, goes to the bar, with friends, high-vis, still on, two Modellos, two tacos, then leaves... It was like the biggest area of fade. And I feel like they're now starting to come back and feel a little more comfortable to go out.",
    "headline": "Constellation Brands · industryPrediction · ongoing_state (2026-06)",
    "episode_id": "56455404702",
    "event_date": "2026-06",
    "episode_url": "https://podcasters.spotify.com/pod/show/beernetradio/episodes/Ep--338-Kaumil-Gajrawala-of-Jefferies-e3kvbod",
    "podcast_name": "Beernet Radio",
    "published_at": "2026-06-18",
    "episode_title": "Ep. 338 Kaumil Gajrawala of Jefferies",
    "date_confidence": "inferred",
    "speaker_relation": "third_party",
    "transcript_source": "transcript",
    "recorded_at_estimate": "2026-06"
  }
}

Long text fields are shortened on this page.

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