VSVisaSignalOfficial filing intelligence

Employer profile

Lotte Hotel Guam

Official filing activity, wage signals, roles, and source freshness in one place.

LCA

0

PERM

1

Median wage

$34,382

Last activity

Dec 30, 2025

Summary

Plain-language read

Lotte Hotel Guam has submitted one PERM application for an Accountant position in Tamuning, GU, during FY2026 Q1. The reported salary for this role is $34,382 per year. Notably, the application was withdrawn, indicating that it did not proceed to the next stages. There are no Labor Condition Applications (LCA) recorded for this employer, which is essential to note as LCA certification does not equate to USCIS H-1B petition approval. Additionally, while PERM certification is a step towards obtaining a green card, it does not guarantee approval. This information is based on DOL OFLC Disclosure Data and is not legal advice.

Wondering whether Lotte Hotel Guam sponsors H-1B? The H-1B sponsor checker reads any company against the same official LCA and PERM filing signals shown here.

Sources

Imported periods

Employer filing context

Lotte Hotel Guam H-1B and PERM research checkpoints

Use this section for searches such as "Lotte Hotel Guam H-1B", "Lotte Hotel Guam LCA", and "Lotte Hotel Guam PERM" before comparing individual case rows.

Activity mix

0 LCA rows and 1 PERM rows are normalized to this employer.

Latest source period: FY2026 Q1.

Search the full LCA & PERM disclosure database to see these rows next to every other employer’s official DOL filings.

Each H-1B petition behind these counts carries government filing fees. See the H-1B sponsor cost breakdown for the per-filing fee stack.

Role and worksite signal

Top observed role: Accountant. Top worksite: Tamuning, GU.

See national wage context on the Accountant H-1B salary page.

Compare this with the H-1B/LCA and PERM drill-down tabs before treating counts as a hiring signal.

Normalization and source check

82% name match1 aliases

Primary source: DOL OFLC disclosure data. Last verified: .

Name matching is a normalization heuristic. Read the source methodology and import freshness before treating matched aliases as a complete sponsor history.

Filing trends

Lotte Hotel Guam filing volume

1 imported H-1B/LCA and PERM filings · median wage $34,382Too few records for a fiscal-year trend chart — see the case tabs for full rows.

Roles

Top official job titles

Worksites

Top locations

Tamuning, GU1

Status mix

Case statuses

Withdrawn1

LCA and PERM rows are filing signals, not USCIS approvals, green-card approvals, legal advice, or outcome predictions.

FAQ

Common questions

Does Lotte Hotel Guam sponsor H-1B workers?

VisaSignal shows official LCA filing activity found in the imported dataset. That activity can indicate historical immigration-related hiring signals, but it is not a promise of sponsorship.

Does Lotte Hotel Guam file PERM cases?

The PERM count reflects imported DOL PERM disclosure rows for this normalized employer. Raw employer names and aliases are preserved so users can inspect normalization confidence.

What does VisaSignal show for Lotte Hotel Guam H-1B and PERM?

For Lotte Hotel Guam H-1B research, the page summarizes imported DOL LCA labor-condition rows. For Lotte Hotel Guam PERM research, it summarizes imported DOL permanent labor certification rows. Both include roles, worksites, wage signals, case-status mix, and the latest source period.

Does an LCA certification mean an H-1B petition was approved?

No. A DOL-certified LCA is not the same as USCIS H-1B petition approval. It is an official labor-condition filing signal that should be interpreted with that limit.

Does a PERM certification mean a green card was approved?

No. PERM certification is one step in an employment-based green card process. It does not mean a green card, I-140 petition, or adjustment of status was approved.

Can this data prove an employer will sponsor a candidate?

No. Official filing history can show recent activity, roles, worksites, and wage signals, but it does not guarantee future sponsorship or predict legal outcomes.