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T-Mobile US, Inc.

Complete the migration of Sprint customers to the T-Mobile network

Not delivered by the deadline

AI-assessed · human review in progress Found and assessed by AI from the cited sources. Shown with its evidence; it is not counted in any Kept Score until confirmed.

Announced
27 Apr 2022
Due
30 Jun 2022
Checked
3 Oct 2026
  • Deadline
  • Met
  • Late
  • Not met
  • Today

What the company said

“On track to complete Sprint customer network migration mid-year”

What we found

Evidence strength A What the grades mean

The company continued to report merger-related costs and activities to facilitate the migration of Sprint customers to the T-Mobile network well after the mid-year 2022 deadline.

  • A
    T-Mobile US, Inc. 10-Q filed 2022-10-27 Regulatory filing · published 27 Oct 2022 · retrieved 3 Oct 2026 · kept permanently by the SEC · fingerprint c86dbe46c51c
    “An increase in the number of devices sold, including higher upgrade volume for Sprint” ✓ confirmed on the page
  • A
    T-Mobile US, Inc. 10-Q filed 2023-04-27 Regulatory filing · published 27 Apr 2023 · retrieved 3 Oct 2026 · kept permanently by the SEC · fingerprint fcede4191409
    “A decrease in the number of devices sold primarily driven by higher postpaid upgrades in the prior year period related to facilitating the migration of Sprint customers to the T-Mobile network” ✓ confirmed on the page

Market reaction: the shares moved +6.5% against the S&P 500 over the three sessions around the disclosure (26 Oct 2022 to 31 Oct 2022). What this measures

Checked 3 Oct 2026.

Commitment DNA

The structured record of this commitment. Fields the company did not state are left blank rather than guessed.

Event type
Project other
Indicative materiality
Low rules
Action
Complete
Deliverable
Sprint customer network migration
Language
Firm (“will”, “on track to”)
In the company’s control
High
Specificity
High

How this entry was checked

  1. Commitment recordedThe company's words were matched word for word against the filing.
  2. First checkAn AI model, Gemini (Google), read the company's later filings and recorded the outcome with a quoted passage.
  3. Second check: agreesA different AI model, Claude (Anthropic), re-read the evidence without being told the outcome and reached the same answer.
  4. Third check on a negative finding: disagreesBecause a negative finding could harm a company if wrong, a stronger model re-read the evidence fully blind and read it as “Met”, so a person decides.

Not yet confirmed. Shown on the record, but it will not count in any score until it is confirmed. How verification works

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Report an error in this entry Reference: KI-C-2022-TMUS-004436 · Corrections policy

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