Most H1B candidates focus only on job titles, not sponsorship behavior — a fatal oversight. The real differentiator is a company’s historical H1B filing patterns, PERM labor certification activity, and internal mobility data. This template forces you to research not just whether a company says it sponsors, but whether it actually does — with verifiable, structured data from USCIS, DOL, and employee reports.
H1B Sponsor Company Research Template 2026: Track Lottery History and PERM Status
TL;DR
Most H1B candidates focus only on job titles, not sponsorship behavior — a fatal oversight. The real differentiator is a company’s historical H1B filing patterns, PERM labor certification activity, and internal mobility data. This template forces you to research not just whether a company says it sponsors, but whether it actually does — with verifiable, structured data from USCIS, DOL, and employee reports.
Wondering what the scoring rubric actually looks like? The SRE Interview Playbook breaks down 50+ real scenarios with frameworks and sample answers.
Who This Is For
This is for international STEM and tech professionals applying for U.S. roles in 2025–2026 who need proof of sponsorship reliability before accepting offers. It is not for candidates at early-stage startups or non-technical roles where sponsorship is ad hoc. You must be evaluating 3+ companies and need a way to compare sponsorship risk objectively.
How do I find a company’s H1B lottery approval and denial rates?
USCIS public data is your only source for real H1B approval rates — everything else is speculation. Pull the most recent fiscal year (FY2024) H1B registry selection reports and final disposition data from the USCIS H1B database. Filter by employer name and fiscal year. Approval rate is calculated as (final approvals / total initial selections) × 100. For example, a company with 1,200 selections and 890 final approvals has a 74% final approval rate.
The problem isn’t access to data — it’s misinterpreting selection vs. approval. In a typical debrief, a candidate cited a firm’s 90% "approval rate," only to learn they confused initial lottery selection (random draw) with final adjudication. USCIS does not publish company-specific denial reasons, but high denial rates often correlate with prior Requests for Evidence (RFEs) or wage-level mismatches.
Not every H1B filing equals a job — but every approval does. Not denial rate, but pattern consistency matters. Not public claims, but audit history determines risk.
How can I tell if a company is actively filing PERM labor certifications?
PERM filings are leading indicators of long-term sponsorship intent — companies that file PERM are preparing green cards, not just H1Bs. Use the DOL’s FLAG system to download PERM application data. Filter by employer name and submission date (last 18 months). Extract: number of applications, job titles, prevailing wage levels, and case statuses (certified, denied, withdrawn).
A company with 15+ PERM certifications in software engineering over 12 months signals structural commitment. One with zero PERM filings but 100 H1Bs is likely using H1B as a short-term staffing tool. In a hiring committee meeting at a top 10 tech firm, the immigration lead flagged a vendor partner that filed 200 H1Bs but zero PERMs — internal policy later banned them from referrals.
Not PERM volume alone, but role alignment matters. Not job title match, but wage level indicates seriousness. Not public PR, but DOL audit survival proves legitimacy.
What salary data should I check to assess H1B legitimacy?
H1B salaries are public via the USCIS disclosure logs — and they reveal whether a company pays competitive wages. Download the LCA (Labor Condition Application) data for the company. Focus on three fields: SOC code, wage level (I to IV), and certified wage. For software engineers (SOC 15-1133), Level I wages below $95,000 in CA/NY/MA/WA are red flags. Level III+ indicates growth-path intent.
In a 2023 offer negotiation, a candidate accepted a $87k Level I H1B in Seattle — the team later learned the firm’s average Level I for that role was $112k. The underpayment triggered an RFE. USCIS increasingly scrutinizes wage outliers. A company paying median or above for the role and geography is 3x less likely to face RFEs.
Not salary alone, but wage level relative to SOC norm. Not base offer, but percentile rank determines risk. Not market average, but consistency across filings shows policy.
How do I verify H1B sponsorship claims beyond job postings?
Job descriptions stating “we sponsor visas” are meaningless without verification. Cross-reference three sources: 1) USCIS H1B filing history (minimum 20 filings/year), 2) Glassdoor or Blind employee tags (“H1B sponsorship” + “green card support”), and 3) personal LinkedIn outreach to 5+ current H1B employees in similar roles.
In a hiring manager review, a startup claimed “strong sponsorship support” but had only 3 H1B approvals in 3 years — all for offshore contractors. The candidate withdrew after finding zero PERM filings and no employee mentions. Actionable signal: at least 10 H1B approvals/year and 3+ PERM filings in the last 24 months.
Not HR statements, but filing volume proves intent. Not website copy, but employee outcomes matter. Not one data point, but convergence across sources confirms reliability.
How do I organize this research into a usable template?
Use a spreadsheet with six tabs: Employer Profile, H1B Filing History (USCIS), PERM Activity (DOL), Wage Analysis, Employee Signals, and Risk Assessment. Populate each with dated sources and direct links. For H1B tab, include columns: FY, Initial Selections, Final Approvals, Approval Rate, Avg Wage, Wage Level. For PERM tab: Case ID, Job Title, SOC, Prevailing Wage, Status, Date.
In an internal mobility review at a Fortune 500, HR used a similar tracker to rank vendors by sponsorship reliability — firms below 60% H1B approval rate or zero PERMs were deprioritized. Weight the Risk Assessment tab: 40% H1B approval rate, 30% PERM volume, 20% wage level, 10% employee feedback.
Not data collection, but structured comparison enables decisions. Not isolated facts, but weighted scoring reveals truth. Not one-time research, but versioned tracking catches decline.
Preparation Checklist
- Extract the company’s USCIS H1B data for FY2022–FY2024, calculate approval rates per fiscal year
- Download DOL PERM filings for the same employer, filter for certified cases in your role category
- Pull LCAs for your SOC code and location, compare offered wage to certified median
- Search Glassdoor, Blind, and LinkedIn for employee-reported sponsorship experiences
- Contact 3–5 current H1B employees at the company for off-record insights
- Score each company on a 100-point scale: 40 for H1B reliability, 30 for PERM activity, 20 for wage alignment, 10 for social proof
- Work through a structured preparation system (the PM Interview Playbook covers visa sponsorship risk analysis with real HC debrief examples from Amazon, Google, and Meta)
Mistakes to Avoid
BAD: Relying on a recruiter’s verbal assurance of sponsorship.
One candidate accepted an offer after being told “we always sponsor” — later discovered the company had zero H1B approvals in 18 months. Verbal promises are unenforceable and often reflect script, not policy.
GOOD: Demanding written confirmation and validating it with USCIS/DOL data.
A candidate at a mid-sized fintech asked for sponsorship terms in the offer letter, then cross-checked with 3 years of H1B filings. Found a 58% approval rate — renegotiated signing bonus to offset risk.
BAD: Ignoring PERM data because “I’m not thinking about a green card yet.”
PERM is not about you — it’s about the company’s infrastructure. No PERM filings means no long-term sponsorship framework. You’ll be an exception, not a process.
GOOD: Using PERM volume as a proxy for immigration team maturity.
A candidate compared two cloud startups: one with 12 PERM certifications, one with none. Chose the former — later learned the latter had lost 4 H1Bs to RFEs due to poor documentation.
BAD: Accepting a Level I wage in high-cost areas without challenge.
USCIS denies 2.3x more Level I H1Bs in CA/NY than Level III+. A $92k offer in San Francisco for a software engineer (SOC 15-1133) is below prevailing wage — triggers scrutiny.
GOOD: Benchmarking offer against DOL LCA data for same SOC and MSA.
A candidate in Austin found the average Level II wage for their role was $118k — countered from $105k to $115k. Company adjusted, reducing future RFE risk.
FAQ
Does a high H1B approval rate guarantee my case will go through?
No. Approval rate reflects past performance, not individual outcomes. A 90% rate still means 1 in 10 denials — often due to RFEs the candidate failed to address. Your academic credentials, job description alignment, and wage level matter more than the company average. Past behavior signals capability, not immunity.
Is PERM data more important than H1B filing history?
Yes, if you plan to stay long-term. PERM filings prove the company runs green card pipelines — H1B-only sponsors treat visas as temporary costs. A firm with 20+ PERM certifications has legal infrastructure, trained attorneys, and HR processes. H1B-only sponsors create ad hoc cases with higher RFE exposure.
Can small companies sponsor H1Bs reliably without public data?
Rarely. Companies with fewer than 200 employees and less than 10 H1B filings in 3 years lack scale to justify immigration overhead. They often outsource to low-cost legal vendors who cut corners. Without PERM filings or employee signals, assume high risk. Exception: well-funded Series B+ startups with known immigration counsel.
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