Alaskan King Crab Co. · 2026 Full-Year Forecast

Generated 20 August 2026 · Rosewater Growth · January–July actuals and August EOM estimate from Statlas · September from the MLTO model · October–December modelled bottom-up by cohort · All revenue on Operating Revenue (Net Sales + Shipping) · aMER = New Operating Revenue ÷ total media spend

FY Operating Revenue
FY New-Customer Revenue
FY Media Spend
FY Contribution Margin
The forecast has two engines, modelled separately

New-customer revenue is media spend × aMER, with the aMER for each remaining month set off that month's own 2025 actual and then adjusted for the efficiency gain the brand has demonstrated since May. Returning-customer revenue is driven by the customer file: the trailing-twelve-month count of new orders, multiplied by that month's historical revenue-per-file-member. The two are added, never blended, so it is always visible which engine is carrying the month.

Section 1 — The number

Three ways the year can close

January through August is settled — $4,396,728 of Operating Revenue is already banked or landing. September is the MLTO forecast already approved. Only October, November, and December are genuinely open, and they are worth more than the other nine months combined. Click a card to switch the whole document.

2025 comparatives are Shopify actuals via Supermetrics on the same Operating Revenue basis. January 2026 is the one month where Statlas and Shopify diverge materially (refunds are booked to the original order date in Statlas), so the January year-over-year figure understates the gap by roughly $37,000.

Why Base is the recommendation

Stretch is a decision gated on October

Do not budget Stretch. Release the incremental November and December media only if October closes at or above its Base Operating Revenue target and October aMER holds at 2.20x or better. October is a low-stakes month that tells you everything about whether the Q4 efficiency assumption is real.

Section 2 — What actually happened

The year has two halves and they are not the same business

January through April ran 27% behind last year on Operating Revenue and 37% behind on new-customer revenue. From May onward every single month has been up year over year. The forecast is built on the second business, not the first — and that is the single most important judgement in this document.

Below 2025Above 2025
The inflection is in acquisition, not in the file

New-customer Operating Revenue turned first — May +45.9%, June +61.7%, July +36.9%, August +51.6% year over year. Returning revenue has been roughly flat across the same window. That is the correct order of operations for a recovering brand, but it means the Q4 case rests almost entirely on the acquisition engine, and the model treats it that way.

Section 3 — The proof

June is the evidence that this brand can be scaled into a peak

Father’s Day is one of the three largest moments of the AKC year and the only summer peak that behaves structurally like Q4: a hard shipping cutoff, a gifting buyer, and a compressed window. In June 2026 the brand put 39.5% more media behind that moment than in June 2025 and improved efficiency at the same time. That combination — scale without efficiency decay, inside a peak — is the entire basis for pressing November and December.

June Operating Revenue$990,726+32.2% vs June 2025 · the brand’s largest non-Q4 month on record
June new-customer revenue$463,115+61.7% vs June 2025 on 39.5% more media
June aMER2.84x+15.9% vs June 2025’s 2.45x — efficiency rose while spend rose
June weighted CAC$231Against a $656 new-customer AOV — first-order economics held through the peak

Inside the moment, day by day

Father’s Day fell on 21 June in 2026 and 15 June in 2025, so the windows are aligned to the holiday rather than to the calendar date.

Window2026 dates2025 dates2026 Op Rev2025 Op RevTotal YoYNew-cust YoY
Father’s Day run-up (10 days)Jun 12–21Jun 6–15$326,625$252,636+29.3%+60.8%
Shipping-cutoff peak (5 days)Jun 14–18Jun 8–12$270,051$198,363+36.1%+89.7%
Month closeJun 26–30Jun 26–30$350,001$205,984+69.9%+102.8%
Best single dayJun 29Jun 30$102,247$76,372+33.9%—
The read-across to Q4

In the five days around the Father’s Day shipping cutoff, new-customer revenue grew 89.7% year over year. In the five days closing the month it grew 102.8%. Those are the two windows in the AKC year that most resemble Black Friday/Cyber Monday and the December shipping cutoff — compressed, deadline-driven, gift-motivated. The Base case asks November and December for new-customer growth of 56.8% and 46.9%. June cleared that bar inside its peaks and August cleared it for a full month at +51.6%.

Section 4 — Acquisition engine

Spend × aMER, month by month, off each month’s own baseline

Efficiency in this business is violently seasonal — October runs near 1.9x and December near 4.5x on identical creative. Applying one blended aMER to Q4 would be meaningless. Each forecast month starts from its own 2025 actual and is adjusted by an efficiency-lift factor that steps down as spend growth steps up, because marginal efficiency degrades with volume.

Month2024 aMER2025 aMER2026 aMERLift vs 20252025 spend2026 spendSpend YoYBasis
Why the lift factor falls through the quarter
The sensitivity worth watching
Section 5 — Returning engine

The customer file is smaller than last year and that caps Q4

Returning revenue is modelled as trailing-twelve-month new orders × revenue per file member, with the yield taken from the same month last year. This is where the first four months of 2026 come back to bite: the brand acquired 1,009 new customers in January–April versus 1,697 in the same window of 2025, and those missing 688 buyers are exactly the people who would be repurchasing in November and December.

Month2025 file (T12 new orders)2026 fileFile YoY2025 rev / file member2026 rev / file memberYield YoYRC revenue YoY
Flat returning revenue is the honest answer, not a pessimistic one

Per-member yield is running ahead of last year — +51% in May, +40% in June, +32% in August — because returning AOV has climbed from $516 across January–August 2025 to $619 across the same window of 2026. The Base case still only assumes a +8% yield gain in Q4, deliberately below the observed range, because a large share of Q4 repeat volume comes from gift buyers whose behaviour is less predictable than the summer file. Even with that gain, a file running 8–14% smaller month by month produces returning revenue that is roughly flat to slightly down. Every dollar of Q4 growth in this plan is acquired, not retained.

Section 6 — Seasonality

More than half the year has not happened yet

As of 20 August, 52.8% of the 2026 plan is still ahead — and 46.0% of it lands in the final three months. This is the most concentrated calendar in the Rosewater portfolio. December alone has been 26–32% of annual Operating Revenue in each of the last two years. That concentration is the reason a Q4 assumption is worth more than every H1 correction combined — and the reason the Q4 share of the year is the fastest way to sanity-check whether this forecast is credible.

New customerReturning customerForecast
The credibility test

Section 7 — The full year

January to December, month by month

Grey rows are Statlas actuals through July with August at the estimated EOM landing. The coral row is the approved September MLTO forecast. Green rows are modelled. Every column is Operating Revenue basis.

MonthStatusOperating RevYoYNewNC YoYReturningRC YoYOrdersAOVSpendaMERMERCACCMCM %
Section 8 — Q4 detail

The three months that decide the year

Each month is built from its own spend level, its own efficiency assumption, and its own file position. Nothing is interpolated between them.

Section 9 — P&L

What the full year is worth

January–August is Statlas actual. September is the MLTO model exactly as supplied. October–December applies the blended 2026 cost structure: COGS at 47.98% of Operating Revenue, merchant fees at 2.81%, and fulfilment plus shipping at the $83.00 per order the brand has run at in every month of 2026.

Jan–Aug actualSep–Dec forecastFull year 2026% Op Rev2025YoY
ScenarioFY Op RevCMCM%
The honest read
Section 10 — Execution

What has to be true

    Section 11 — Watchpoints

    Where this forecast could be wrong