H-1B sponsor companies for F-1 students in 2026, what the data actually shows

The lists are wrong, and that costs you applications

Search “top H-1B sponsors” and you will see the same fifteen logos in every post: Google, Microsoft, Amazon, Meta, Apple, Goldman, JPMorgan, and so on. Those companies do file thousands of petitions, but the lists you see are usually old (2022 data), biased toward big tech, or copied from one dataset to another without checking the source. A list like that gives you the wrong picture of where an F-1 student with a year or two of experience actually has a real shot.

The actual ground truth is the USCIS H-1B Employer Data Hub. It publishes per-employer petition counts, approval rates, and beneficiary characteristics quarterly. The data is granular enough to tell you not just who sponsors, but who sponsors people at your career stage.

What the data shows for new grads

Three patterns repeat year after year, and they should change how you build your target list.

1. IT services firms dominate the raw counts

Cognizant, Infosys, Tata Consultancy Services, Wipro, and HCL combined file more H-1B petitions than the top ten US tech companies put together. They have the operational machinery, the legal teams, and the volume of consulting projects to absorb new hires. Approval rates are high, but the work is usually staff-aug consulting (you get placed at a client), and the salaries are 20 to 40 percent below tier-one tech.

If your goal is to clear the H-1B lottery and stay in the US, these firms are the highest-probability employer category. If your goal is to work at a product company, treat them as a fallback, not a primary target.

2. Big tech and finance file petitions for senior-level transfers, not entry-level externally

The Googles and Goldmans of the world file plenty of H-1B petitions, but a closer look at the petition data shows most are L-1 transfers from international offices or L-1B specialty workers, plus internal conversions of existing OPT employees. The number of external entry-level H-1B hires at any single tier-one firm is in the low hundreds, against tens of thousands of applicants. Possible, not high-probability.

The play here is to first land an OPT role with a sponsorship-friendly company, then aim for tier-one in year two or three when you have a US track record and the bar for justifying H-1B is lower.

3. The middle layer is where new grads actually win

Series B through pre-IPO startups (Stripe-scale, Notion-scale, Anthropic-scale) and mid-tier public companies file H-1B petitions in smaller numbers but their per-applicant odds for new grads are much better. They often hire on OPT first, evaluate, and sponsor for those they want to retain. Approval rates at this tier are 95 percent or higher (matching big-tech approval rates) but petition volume per company is in the dozens, not thousands. Less competition per slot.

Examples in the 2024 to 2025 data with strong approval rates and new-grad hiring: Stripe, Figma, Notion, Anthropic, Databricks, Snowflake, Asana, Linear, Vercel, Ramp, Plaid, Square (Block), Coinbase, Robinhood, DoorDash, Instacart. Mid-tier finance: Citadel, Two Sigma, Jane Street, Bridgewater. These are not the names on the stale lists, but the data backs them.

How to actually use this data

Three filters cut a noisy list down to a workable target set.

1. Approval rate above 90 percent. Most reputable employers hit this. Anyone below has either a bad legal team or a denial pattern that suggests they will not fight for you.
2. Recent filings. A company that filed 50 petitions in 2022 but zero in 2024 has changed policy. Use the most recent two fiscal years only.
3. Beneficiary characteristics. The USCIS data includes degree level and field of study. Filter to your degree and field. A company that only sponsors PhDs is not a target for a Master’s in CS.

Where SundayApply’s sponsor flag fits

Our company database flags every employer in your search by their last-two-year USCIS petition count, approval rate, and entry-level acceptance. When you paste a job description into the apply flow, the company shows up green if it has a real sponsorship track record, amber if it has filed petitions but not for your career stage, and grey if it has no record at all. The classification updates monthly from the USCIS Data Hub feed.

None of this replaces talking to someone who works there. It does mean you spend your application time on companies where the visa math is at least possible, instead of guessing.

One thing worth ignoring

Glassdoor and Reddit threads listing “companies that sponsor.” The signal-to-noise is brutal: half the entries are from PhD postdocs at universities (cap-exempt, irrelevant to most readers), and the other half are companies someone’s friend got sponsored at four years ago. USCIS data is the only honest source, and it’s free.

Action items

1. Pull the latest fiscal-year list from USCIS Employer Data Hub. Filter to your field.
2. Build a target list of 30 to 50 companies across the three tiers: high-volume services (Cognizant tier), mid-tier startups (Stripe tier), and tier-one moonshots (Google tier).
3. Skip companies with no recent filings or sub-90 approval rates.
4. Apply at the mid-tier first. They’re where most F-1 new grads actually land.

If you want the company database with sponsor flags pre-built, try the free company check tool or sign up free to get sponsor flags integrated into your application pipeline.