Mark Whitmore 🇺🇦 🇵🇸
4.5K posts
Mark Whitmore 🇺🇦 🇵🇸
@mwhitmoe
Finance geek, gadfly, proud parent, and recovering attorney. Any posts are NOT financial advice.


*Update* Our real-time Strait of Hormuz vessel-crossing tracker just hit its highest level since the war began. The index now shows 21 commercial crossings over the past 24 hours — 13 eastbound, 8 westbound — updated every 30 minutes from AIS transponder data. This matters because it tracks actual vessel movement through the chokepoint, not headlines or claims. When ships actually move through Hormuz with their transponders on, this is where we’ll track it.



INTU 10-K DEEP DIVE Our team ran the Alphatica Earnings Quality Signal on Intuit's latest filing. The Verdict: 2/6 LEAN BEARISH Headline numbers look fine. The data says a different story. Here's what we found: THE HEADLINE: Revenue +12.9% to $14.4B. Operating income +22.2% to $3.1B. Net income +15.4% to $2.4B. EPS +15.7% to $8.42. OCF +29.7% to $5.0B. Looks strong. Now look deeper. THE DILUTION TREADMILL: INTU spent $7.1B on buybacks since FY2020. Shares outstanding WENT UP from 260M to 280M. $2.0B in buybacks last year alone — share count flat at 280M. SBC hit $1.7B (11.9% of revenue), up from 5.7% in FY2022. That means 72% of net income is being handed back to employees as stock. Buybacks aren't returning capital to shareholders — they're plugging the dilution hole. THE ACQUISITION OVERHANG: Goodwill: $13.8B (was $1.6B in FY2020) Intangible amortization: $483M/year (was $6M) Zero impairment taken. $13.8B in goodwill = 84% of total equity. That's Credit Karma + Mailchimp. Annual amort of $483M is a permanent earnings drag that didn't exist 3 years ago. If growth decelerates, impairment risk is real. THE FORWARD VISIBILITY PROBLEM: Deferred revenue DECLINED 5.3% to $872M while revenue grew 12.9%. For a subscription SaaS business, this divergence is a red flag. It means shorter contract terms, fewer prepayments, or a shift to monthly billing. Noncurrent deferred rev collapsed from $13M to $4M — virtually no multi-year contract cushion. THE COST STRUCTURE: S&M: $3.8B (26.2% of rev) R&D: $2.5B (17.7% of rev) G&A: $1.3B (9.0% of rev) SBC: $1.7B (11.9% of rev) No operating leverage despite doubling revenue since FY2020. Every cost line scales proportionally. Add the $483M intangible amort and real operating margins are much thinner than reported. THE BALANCE SHEET: Treasury stock ($18.75B) exceeds total equity ($16.4B). Long-term debt: $6.0B (down from $6.9B peak). $499M debt maturity coming due. Debt/equity improving at 36.7% but only because equity ballooned from acquisition accounting. BOTTOM LINE: INTU is a company where headline growth masks structural earnings quality deterioration. The SBC dilution treadmill ($7.1B spent, shares still up), rising tax rate, declining deferred revenue, and $13.8B goodwill overhang all point to lower-quality earnings than the Street gives credit for. The stock is declining because sophisticated investors quantify the footnotes. $INTU $CRM $NOW $WDAY $HUBS



WEEKLY DARK POOL RECAP | June 8-12, 2026 "You can't classify direction in dark pools." We heard it (many times). Here are the receipts. Our direction classification algorithm produced 9 individual name signals this week across 1,809 off-exchange prints ≥$5M. We measured every signal against the actual return for the week ending June 12. Signal accuracy: 7 out of 9 correct direction (78%). Sell signal accuracy: 3 out of 3 (100%). Buy signal accuracy: 4 out of 6 (67%). ALPHATICA BUY SIGNALS vs ACTUAL RETURNS $INTC Signal: BUY Net: +$518M Return: +25.6% ✓ $MU Signal: BUY Net: +$230M Return: +13.6% ✓ $TSLA Signal: BUY Net: +$213M Return: +3.9% ✓ $NVDA Signal: BUY Net: +$712M Return: +0.04% ✓ $GLD Signal: BUY Net: +$634M Return: -2.4% ✗ $AAPL Signal: BUY Net: +$525M Return: -5.3% ✗ $INTC: our algorithm classified +$518M in cumulative dark pool flow as institutional buying. The stock returned +25.6%. By Friday, $INTC had +$743M in dark pool buys with zero sells and +$1.97B on the lit tape with $8M in sells. Both venues. Zero opposition. The algorithm identified the accumulation. The return confirmed it. $AAPL: our algorithm classified +$525M as institutional buying. The stock declined -5.3%. The signal missed. We show it. The reason for the selloff WWDC. We expect $AAPL to move higher from here. $GLD: +$634M classified as buying. A new position being built across two sessions. Gold declined -2.4%. Whether the dark pool was early or wrong is a question for this upcoming week. ALPHATICA SELL SIGNALS vs ACTUAL RETURNS $META Signal: SELL Net: -$700M Return: -4.4% ✓ $GOOGL Signal: SELL Net: -$424M Return: -2.4% ✓ $NFLX Signal: SELL Net: -$250M Return: -2.2% ✓ 3 out of 3. Every name our algorithm classified as institutional selling declined. $META: -$700M across three appearances, all classified as sell. Down -4.4%. $GOOGL: -$424M, mostly sell. Down -2.4%. $NFLX: -$250M in a single session with zero dark pool buys. Down -2.2%. The sell signals were perfect. When the algorithm flags persistent selling with zero or near-zero buyer interest, the name declined every time this week. INDEX SIGNALS: STRUCTURAL HEDGING $SPY Signal: HEDGE Net: -$2.76B Return: +0.57% $QQQ Signal: HEDGE Net: -$1.47B Return: +2.31% $IWM Signal: HEDGE Net: -$2.36B Return: +4.01% The algorithm detected institutional hedging at the index level. The dark pool sold all three indexes for the week while all three rose. This is not a miss. This is risk management. The institutions bought individual names ($INTC +25.6%, $MU +13.6%) and hedged broad market exposure off-exchange. The index selling funds the individual name buying. Different function. Different interpretation. WEEKLY SCORECARD Signal accuracy: 7/9 (78%) Sell signals: 3/3 (100%) Buy signals: 4/6 (67%) Biggest hit: $INTC +25.6% on buy signal Biggest miss: $AAPL -5.3% on buy signal We publish every signal in real time. We validate every signal against the actual return. We show the $INTC hit and the $AAPL miss. We show the $META sell that worked and the $GLD buy that didn't. "You can't classify direction in dark pools." 78% says otherwise. 100% on sells says otherwise. The receipts are on the timeline. Every day. Every week. The algorithm works. The tape doesn't have an opinion. It has a receipt.





















