12.12.2023 Views

FMA Magazine 2021 - 2023

FMA Bi-Annual Magazine. Highlighting programs, training, and engagements of Auburn University Financial Management Association Honors Society and Auburn Student Investment Fund.

FMA Bi-Annual Magazine. Highlighting programs, training, and engagements of Auburn University Financial Management Association Honors Society and Auburn Student Investment Fund.

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

ALUMNI RECOGNIZED RESEARCH<br />

ALUMNI RECOGNIZED RESEARCH<br />

DAVID ALDERMAN<br />

A New Metric to Evaluate Crypto Ecosystem Fundamentals: The yearsto-profitability<br />

ratio is a good way to evaluate a level-1 blockchain.<br />

BY DAVID ALDERMAN, CHRISTOPHER JENSEN<br />

When evaluating layer-1 (L1) blockchains, many fundamental<br />

investors focus on metrics such as price-to-earnings or price-tosales<br />

ratios. While these metrics are important, they ignore the<br />

programmable aspect of a blockchain’s token supply. Because a<br />

blockchain’s emissions schedule (i.e., when new tokens will enter<br />

circulation due to staking rewards and token unlocks) is known,<br />

its cost structure into the future is essentially known as well.<br />

The years-to-profitability (YTP) ratio is a useful new metric for<br />

analyzing an L1’s profitability as it incorporates the blockchain’s<br />

forward supply curve. It applies the traditional finance (TradFi)<br />

concepts of breakeven analysis and payback periods to crypto.<br />

The analysis views an L1 blockchain through the lens of a business<br />

that sells secured blockspace. Revenues are the fees that users<br />

pay to record transactions on the chain, and expenses are the<br />

costs needed to secure the network. YTP calculates a blockchain’s<br />

profitability timeline by factoring in the protocol’s current revenue<br />

and cost structure, a projected growth rate (CAGR) and future<br />

supply dynamics.<br />

We find YTP compelling because it provides a comprehensive<br />

framework for evaluating an individual blockchain or comparing<br />

multiple blockchains.<br />

We start our calculation with Token Terminal’s definition of L1<br />

profitability:<br />

Transaction Fees<br />

(-) Supply Side Fees<br />

Revenue (Burned Fees)<br />

(-) Token Incentives (Unlocks, Staking Rewards, etc.)<br />

Net Profit<br />

It is important to note that all revenues and costs are denominated<br />

in the L1’s native token. And, while unlocks and staking rewards<br />

both increase the number of tokens in circulation, the difference<br />

between transaction fees and the portion of those fees paid to<br />

proof-of-stake validators is what is used to burn or reduce the<br />

number of tokens in circulation. In this sense, YTP measures the<br />

point at which an L1’s circulating supply stabilizes at 0% inflation.<br />

Some broad assumptions we make are:<br />

• The percentage of the transaction fee burned remains constant.<br />

• The foundation takes 10 years to sell all its tokens.<br />

• For revenues, we use the L1’s revenue for the last quarter<br />

annualized.<br />

In comparing YTP across blockchains, it’s helpful to group the L1s<br />

by whether they have an inflationary tokenomic model or a max<br />

supply model, because with the latter, an L1 might “break even”<br />

simply because the chain’s fixed supply was reached (as modeled<br />

for SUI or ADA). Here’s an analysis for multiple blockchains, with<br />

Ethereum and Binance Smart Chain excluded because they are<br />

already profitable:<br />

Years<br />

80<br />

70<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

--<br />

13<br />

10<br />

8<br />

25<br />

19<br />

15<br />

31<br />

23<br />

19<br />

Years to Profitability<br />

(Assuming Various Revenue Growth CAGRs)<br />

40<br />

29<br />

23<br />

30% 40% 50%<br />

∞<br />

8 8<br />

7 5<br />

8<br />

9<br />

7 7<br />

6<br />

SOL NEAR ICP APT XTZ FIL AVAX FTM SUI ADA<br />

Sources: The Tie, Token Terminal, Artemis, Franklin Templeton Estimates<br />

Then, by using the same set of growth rate assumptions for each<br />

chain (we calculated future CAGRs of 30%, 40% and 50%), we can<br />

make comparisons across chains and explore more deeply what<br />

drives YTP. For example, while APT has a high YTP, this is partially<br />

because the chain is relatively new and therefore its revenues<br />

are smaller than those of other more established chains. SOL<br />

has modest inflationary schedules compared to blockchains like<br />

NEAR or ICP. In all examples, a blockchain’s ability to burn tokens<br />

(and provide some kind of offset to new emissions) is helpful for<br />

managing YTP.<br />

40<br />

40<br />

40<br />

58<br />

58<br />

58<br />

This article was co-written by <strong>FMA</strong> alumnus David Alderman, who is currently working as a research analyst for Franklin Templeton Digital Assets and appeared on the<br />

website Coin Desk on 7/5/<strong>2023</strong>.<br />

54 <strong>FMA</strong> <strong>2021</strong>-<strong>2023</strong> MAGAZINE

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!