About · Independent Markets Research · Est. 2022
Who writes Financial Gurkha, and how the numbers get here.
Financial Gurkha is an independent markets research publication founded in 2022 and written from New York City. It covers equity valuations, earnings and macro — read from primary filings rather than summarised from other coverage.
Kanchan Sharma
Founder & Analyst · New York City
I hold a bachelor's degree in financial economics from Caldwell University. I am a MS Finance candidate at Saint John's University. My research and writing focus on Discount Cash Flow Valuation, and the impact of interest rate in valuing public companies.
The work covers US equities and earnings, macro and the Federal Reserve, commodities, semiconductors and memory, and digital assets. Where something has a cash flow today, a plausible cash flow tomorrow, or an underlying that can be capitalised, it can be valued — and that is the range this publication works across.
Financial Gurkha is written from New York. I am in the Financial District and around Wall Street at least twice a week, and much of the writing is done there.
Reach me at contact@kanchanksharma.com
How the work is done
Primary sources only
Every figure comes from a 10-K, 10-Q, 8-K, earnings release, investor presentation, call transcript, or an official statistical release. We do not repeat numbers from other financial media without going back to the filing.
Arithmetic shown
The most useful numbers — incremental margin, free cash flow margin, implied growth — are rarely printed in a filing. Where we calculate rather than quote, we show the working so you can check it.
Assumptions stated
A valuation is an opinion supported by arithmetic, not a fact. Growth, margin, reinvestment and discount rate are stated explicitly. Its value lies in being transparent enough for you to disagree with.
Conflicts disclosed
Where the author holds or intends to hold a security discussed, it is disclosed in the article, before the analysis. No company pays for coverage, and no company sees an article before publication.
The full methodology, corrections policy and disclosure rules are set out in our Editorial Standards. Every valuation we have published, with outcomes — including the ones that went against us — is on the track record page.
What this publication is not
Being clear about the limits is part of being credible about the rest.
- — Not a registered investment adviser. Financial Gurkha is not registered with the SEC, FINRA or any state regulator. We do not give personalised investment advice and do not manage money.
- — Not a real-time data service. We do not carry live quotes, options-implied moves, consensus estimates or transcript coverage of every company.
- — Not comprehensive. We write in depth about a small number of situations rather than briefly about many. Coverage is selective by design.
- — Not a documented performance record. We publish valuations and reasoning, not a track record of returns, and we do not claim forecasting accuracy we have not evidenced.
Use this as independent research and a starting point — then verify anything that matters against the filing itself. That is what we do, and it is what we would want a reader to do with our work.
On the use of AI
We use AI tools in research and drafting — reading long filings, checking arithmetic, structuring drafts. Every published figure is verified against the primary source by a human, and the editorial judgement, the argument and the conclusions are the author's. We would rather state this plainly than leave it unsaid.
Work with the desk
Commissioned valuations for public companies, private targets and operating businesses, and one-on-one consultations on markets and financial statements.