undamentalytics Newsletter

Terawulf Inc.: what the price is pricing in

There is no current earnings reading for Terawulf Inc.: its latest is from March 31, 2019. Switch lens below to see the other readings and how trading the gap would have done.

No published rating for Terawulf Inc.: reported crypto treasury NAV excludes the operating business. The readings below run our models backwards for research and show how trading the gap would have done; they are not a valuation or a rating. The valuation page shows the models and their status.

What growth in earnings is the price paying for?

No current reading. The latest is from March 31, 2019: the figures this lens needs have not been filed recently enough (or no longer apply), so there is no position this quarter.

Quarters with a position210 long, 21 short, since June 30, 2012
Beat the S&P 50013 of 2161.9% of quarters held
Strategy against the index−42.1%cumulative; worst fall -86.5%
$10,000 became$13,222S&P 500 bought and held: $21,037

Over time

The earnings growth the price-to-earnings ratio requires, against the growth our model assumes. Net income is already after interest, so it is valued at the return shareholders require, plus spare cash (none for banks and insurers, whose cash is funded by deposits and policies), with no debt subtracted.

2%24%45%67%88% 2012201320142015201620182019 $7.2$13.6$20.0$26.4 Short from 2012-09-30Short from 2012-12-31Short from 2013-03-31Short from 2013-06-30Short from 2013-09-30Short from 2013-12-31Short from 2014-03-31Short from 2014-06-30Short from 2014-09-30Short from 2015-03-31Short from 2015-06-30Short from 2015-09-30Short from 2015-12-31Short from 2016-03-31Short from 2016-06-30Short from 2016-09-30Short from 2016-12-31Short from 2018-06-30Short from 2018-09-30Short from 2018-12-31Short from 2019-03-31
Growth our model assumes Growth the P/E implies Long quarter Short quarter. Lower panel: the share price at each quarter end, adjusted for later share splits and spin-offs (the table below gives the price as traded).

$10,000 trading the gap vs the S&P 500

$0$10.0k$20.0k 20122013201420152016201720182019 $21.0k$13.2k
StrategyS&P 500, buy and hold Hypothetical, before costs. The strategy holds the S&P 500 and only changes on a signal: it switches into WULF in long quarters and adds a short of WULF in short quarters. The gap between the lines is what the signal added or lost.

Skill or luck?

In plain English: Across 21 quarters with a position, this lens beat the S&P 500 in 13, by +1.4% a quarter on average. That could easily be chance. One company is a small sample: the results across all companies are the better guide.

PositionsQuartersBeat the S&P 500Average vs S&P 500, a quarterTypical (median), a quarterA yearConfidence (t)Evidence
Longs 0 — — — — — —
Shorts 21 61.9% +1.4% +7.2% −9.9% 0.26 No reliable evidence
All positions 21 61.9% +1.4% +7.2% −9.9% 0.26 No reliable evidence

Each position is measured against the S&P 500 over the same quarter: a long earns the stock's return minus the index's, a short the index's minus the stock's. "A year" compounds the per-quarter results. Evidence: strong at a t-statistic of 2 or more, some from 1.5; "worse" when the result is that far below zero; one company's history is a small sample, so read these alongside the results across all companies.

Every quarter (23)
FromPrice paidGrowth the P/E impliesGrowth our model assumesPositionWULFS&P 500
March 31, 2019 $8.22 38.4% 3.4% Short −11.1% +4.2%
December 31, 2018 $8.43 20.5% 4.5% Short −2.5% +13.5%
September 30, 2018 $12.50 33.4% 2.0% Short −32.6% −13.5%
June 30, 2018 $10.70 86.7% 2.0% Short +16.8% +7.7%
December 31, 2016 $11.25 44.0% 2.0% Short −10.8% +5.9%
September 30, 2016 $10.75 38.8% 2.0% Short +4.7% +4.0%
June 30, 2016 $11.24 41.0% 2.0% Short −4.4% +3.8%
March 31, 2016 $11.80 47.0% 2.0% Short −4.8% +2.5%
December 31, 2015 $11.19 88.3% 2.0% Short +5.5% +1.3%
September 30, 2015 $12.00 72.7% 2.0% Short −6.8% +7.0%
June 30, 2015 $15.05 42.3% 2.0% Short −20.3% −6.4%
March 31, 2015 $16.00 21.8% 4.5% Short −5.9% +0.2%
December 31, 2014 $14.56 13.9% 4.3% No position +9.9% +0.9%
September 30, 2014 $18.15 18.4% 3.5% Short −19.8% +4.9%
June 30, 2014 $25.17 22.6% 3.2% Short −27.9% +1.1%
March 31, 2014 $25.00 29.3% 2.0% Short +0.7% +5.2%
December 31, 2013 $14.75 21.4% 2.7% Short +69.5% +1.7%
September 30, 2013 $18.74 22.8% 2.0% Short −21.3% +10.5%
June 30, 2013 $16.25 21.3% 2.0% Short +15.3% +5.2%
March 31, 2013 $12.35 15.5% 3.2% Short +31.6% +2.9%
December 31, 2012 $8.05 12.1% 2.0% Short +53.4% +10.5%
September 30, 2012 $8.00 12.4% 2.0% Short +13.1% −0.4%
June 30, 2012 $7.62 9.4% 4.0% No position +5.0% +6.3%

Price paid: the closing price that day as traded, before any later share split.

How the test works

At each quarter end since March 2010 we rebuild the models from Terawulf Inc.'s quarters ending at least 90 days earlier (and no more than 200 days before that), using the figures as later filed, including any restatement, and value them at that day's close, adjusted for later share splits and spin-offs so that price and share count are on the same basis. A wide enough gap is a long or a short for one quarter (growth 10 points; margin and return on equity 5 points; a PEG under 0.75 or over 3), measured on total return against the S&P 500. The rules were set before the test. No trading or borrowing costs; today's list of companies. Not investment advice. All companies and the results across them.

Compare with peers

Head to head: CIFR vs WULFDHX vs WULFBTBT vs WULF

More: Internet Services & Infrastructure stocks compared, Technology sector, rankings of US companies

Figures from Terawulf Inc.'s SEC filings (10-K and 10-Q), retrieved October 20, 2026. How we read and check them: methodology and data sources. Not investment advice. Back to Terawulf Inc.