PL has risen more than 4 times in a year. What is it selling? Is it worth getting on board?

$Planet Labs(PL.US) This stock has surged 468% over the past year. It just hit a new all-time high of $40.23 on April 17th, and is now around $35—a small ten-bagger within the year's ten-baggers. You might have heard it's a "satellite company," but if that's all you know, you won't understand why it's rising.

Let me explain its business model in the simplest terms: Planet Labs doesn't sell satellites; it sells a "subscription service for photos taken by satellites."

It operates over 200 small satellites in Earth's orbit (originally shoebox-sized, later iterations), scanning the entire globe daily to generate massive amounts of image data. It then sells this data in layers to four types of customers:

Governments and militaries (for intelligence—monitoring enemy troop deployments, ship gatherings);
Agricultural companies (assessing crop growth, estimating yields);
Financial and hedge funds (monitoring Walmart parking lot traffic, oil tank levels in oil-producing countries);
Insurance and climate industries (claims, risk assessment).

Its core advantage is "daily global scanning"—no other company can match this update frequency. This is the moat of the subscription model; customers sign one-year contracts, and the renewal rate for the following year is very high.

Why has it surged so much from last year until now? Two inflection points arrived simultaneously.

First, AI has led to a revaluation of satellite imagery's worth. Previously, analyzing a single image required manual work, which was extremely inefficient. Now, AI can automatically identify tanks, containers, trucks, and crops in images, instantly turning satellite data into "AI-consumable raw material." Data suppliers like Planet have upgraded from "selling pictures" to "selling AI training feed."

Second, geopolitical tensions + exploding defense budgets. Planet disclosed a defense order backlog of $900M+ in March, with its stock price rising 15.8% that month alone. The military now not only buys data but also locks in annual contracts—this type of contract is the most valuable in SaaS.

The FY2026 annual report data provides real support: full-year revenue of $307.7M, Q4 $86.82M (up 41% YoY), exceeding expectations of $78.20M. More critically, RPO (Remaining Performance Obligations) is $852M, up 106% YoY—this is revenue locked in for the next 2–3 years. Cash is $640.1M, with FY27 guidance at $415–440M, continuing a growth pace of over 35%.

After the story, some trading tips—I think this stock needs to be viewed in "layers":

Short-term (events to watch within 1–2 weeks): The deadline for the company to redeem all Public Warrants is 5 PM (Eastern Time) on April 27th, at a redemption price of $0.01. Warrant holders must exercise or sell before this time, or they will become worthless. This will create technical selling pressure—the additional shares from exercised warrants will impact supply and demand. If you want to enter, my suggestion is to wait 2–3 trading days after April 27th, after the supply shock has cleared, before acting.

Medium-term (6-month perspective): The new Berlin factory is hiring 70 people to start up, indicating European defense customers are ramping up. Combined with EU defense budget expansion, this is a medium-term catalyst. But note that the growth rate in FY27 guidance is slightly slower than the actual FY26 numbers; the market may oscillate between "re-acceleration vs. normal deceleration."

Long-term (12 months+): Planet's repricing from a satellite company to an AI data company isn't over yet. But be wary of valuation—the current P/S ratio is about 10x (based on the FY27 midpoint of $430M); further gains would start to price in FY28 expectations.

My view: the sector is right (satellite + defense + AI data), the company's fundamentals are right (RPO doubling + ample cash), but chasing at the current level offers mediocre risk-reward. Building a position in batches + acting after April 27th + adding on dips below $30 (near the 20-day moving average) is what I would do.