Governments and enterprises are increasingly relying on autonomous systems to improve efficiency, reduce labor costs, enhance safety, and gain real-time intelligence across industries such as defense, infrastructure, agriculture, logistics, and energy.
This sector is NOT just about drones—it represents the future of automated operations, data-driven decision-making, and resilient supply chains.
ZenaTech, Inc. (NASDAQ: ZENA) stands out within this high-growth landscape by offering a fully integrated, end-to-end ecosystem that few competitors can match.
Unlike companies focused solely on hardware or software, ZENA operates at the intersection of AI drones, a rapidly scaling Drone as a Service model, enterprise SaaS platforms, and defense-ready systems, creating multiple recurring revenue streams and strong customer lock-in.
Its DaaS strategy removes adoption barriers for government and enterprise clients while enabling rapid national and international expansion through acquisitions.
Combined with regulatory approvals, U.S.-based manufacturing, and growing traction in defense and critical infrastructure markets,ZENA is uniquely positioned to capitalize on this sector's expansion and emerge as a foundational player in the future of autonomous and AI-driven operations.
With operations spanning North America, Europe, the Middle East, and Asia—and manufacturing in Arizona and Taiwan—ZENAis positioning itself as a global drone infrastructure platform rather than a single-product company!
Recent U.S. policy developments could significantly benefit American drone companies like ZenaTech.
The White House's July 2025 AI Action Plan and the "Unleashing American Drone Dominance" executive order—alongside restrictions on Chinese drone parts—are reshaping the competitive landscape in favor of domestic manufacturers and service providers. As governments and enterprises seek compliant, secure, and U.S.-approved drone solutions, ZENA's regulatory progress and American footprint place it in a favorable position.
ZENA's Drone as a Service model removes traditional barriers to adoption by allowing businesses and government agencies to deploy drones via subscription or pay-per-use—without upfront capital costs, pilots, maintenance, or regulatory complexity.
Launched in November 2024, DaaS already accounted for 82% of Q3 2025 revenue and is being rapidly expanded through acquisitions of surveying and services firms across the U.S.
The company has publicly stated a goal of completing 25 acquisitions by mid-2026, accelerating both geographic reach and recurring revenue.
Real-World Applications Across High-Value Industries
ZenaTech's drones are already being deployed across agriculture, defense, logistics, and government operations. Current applications include crop monitoring and spraying, wildfire management, search and rescue, medical supply delivery for U.S. military pilots, warehouse automation, and security surveillance.
Future expansion targets oil and gas, mining, construction, renewable energy, forestry, and environmental monitoring—markets that demand precision, safety, and automation at scale.
At the core of ZenaTech's platform is its ZenaDrone lineup, including the heavy-lift ZenaDrone 1000 and the compact ZenaDrone IQ series for indoor and precision operations.
These systems integrate AI, machine learning, and emerging quantum computing capabilities, paired with enterprise software brands such as WorkAware, TillerStack, and SystemView.
This end-to-end ecosystem enables customers to collect data, manage assets, and make real-time decisions—creating operational efficiencies that traditional drone providers may struggle to match.
Explosive Revenue Growth and Multiple Monetization Streams
The company generates revenue through enterprise SaaS licensing, DaaS subscriptions and usage fees, drone hardware and software sales, customization, maintenance, and training—creating diversified income streams as adoption scales.
Acquisitions, Federal Expansion, and Revenue Acceleration
ZENA has delivered a rapid stream of high-impact developments that underscore the speed and discipline of its Drone as a Service expansion strategy.
In early December, the company closed its 13th DaaS acquisition with the purchase of Smith Surveying Group, a Jacksonville, Florida–based firm with deep roots in municipal, aviation, and commercial surveying. The acquisition significantly strengthens ZenaTech's presence in one of the fastest-growing metropolitan areas in the U.S., while positioning the company to benefit from Florida's more than $345 million in airport modernization funding earmarked for 2025–26. Management highlighted strong demand for drone-based surveying driven by aviation expansion, coastal development, and infrastructure resilience—areas where speed, precision, and regulatory compliance are critical.
ZenaTech announced the opening of a Washington, D.C.–area office for its ZenaDrone subsidiary, designed to accelerate access to U.S. defense agencies and federal procurement channels. Located in Manassas, Virginia, the new office places ZenaTech in close proximity to military program managers, procurement officials, and policymakers, reinforcing the company's push into defense and homeland security markets.
This move complements the company's expanded Arizona manufacturing footprint, where drone production capacity is being tripled to support full U.S.-based assembly, testing, and deployment—an increasingly important differentiator amid rising demand for American-built, non-weaponized UAV systems.
ZenaTech reported that Drone as a Service generated 82% of Q3 2025 revenue, contributing $3.57 million of the company's record $4.35 million quarter. With 12 U.S. acquisitions already completed and a stated goal of 25 DaaS locations by mid-2026, the company continues to execute a disciplined roll-up strategy in fragmented, legacy industries ripe for drone automation.
Drones are no longer novelty devices for hobbyists or food delivery—they are rapidly evolving into essential infrastructure powering defense, industrial automation, and data-driven decision-making.
The company reported record Q3 2025 revenue of $4.35 million, a 1,225% year-over-year increase, bringing year-to-date revenue to $7.73 million, far above all of 2024. This growth reflects rising demand for its Drone-as-a-Service platform and enterprise software products.
As restrictions tighten on Chinese-made drones, the company's integrated ecosystem creates a strong opportunity to capture market share across defense, infrastructure, agriculture, logistics, and public-safety sectors.
With U.S. initiatives prioritizing NDAA-compliant, American-made drones, ZENA is positioned to benefit from accelerating commercial and defense adoption.
GameStop Stock Hints at a Narrow Path to Upside Following Q3 Report
Posted On Dec 10, 2025 by Joshua Enomoto
Perhaps best known in the post-pandemic ecosystem as the company that kicked off the meme-stock craze, GameStop (NYSE:GME)has, since its heyday, attempted to regain some of the lost magic. So far, though, circumstances haven't exactly favored GME stock. And to be quite blunt, the video game retailer's latest earnings results don't really help matters.
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For the third quarter, GameStop reported adjusted earnings per share of 24 cents, which did top the consensus view of 20 cents. Further, the latest tally comfortably exceeded the year-ago quarter's print of 6 cents. Unfortunately, investors appeared to take a dim view of the gaming retailer's revenue count, which landed at $821 million. This figure badly missed Wall Street's expectation, calling for $987.3 million.
If that wasn't bad enough, the sales figure represented a 4.6% year-over-year (YoY) decline. Fundamentally, softer demand in core retail operations appeared to have stymied GameStop's momentum. Following the disclosure, GME stock dipped about 6% during Tuesday's after-hours session. In the open market, the security had lost a bit more than 1%.
Since the start of the year, GME stock is down more than 26%. Thanks to the disappointing Q3 sales, it risks breaching the 30% down mark. Still, while GameStop represents a high-risk trade, there could be a speculative case for upside.
Applying the Right Mathematical Framework for GameStop Stock
If you look at any technical chart for GME stock, you'll notice that — irrespective of the provider — every chart is structured identically: price is plotted as a function of time. This is not surprising as it's the most intuitive way to visually describe past price behaviors.
However, this format distorts reality, largely because the underlying relationship is not epistemologically sound. Rather than being a function of time, price is actually a function of state.
However, no one has been able to identify exactly what this state is because a gazillion individual catalysts converge to influence price. What's more, even if we used the most advanced quantum computer to calculate this state, opportunistic investors would quickly run into Schrodinger's paradox of the financial markets.
Like it or not, the stock market is reflexive. So, if everyone knows how to calculate the driving state of GME stock, that knowledge would necessarily change how we would approach the security. Ironically, knowing the system changes the system, thus erasing whatever edge we would have otherwise gained.
Without going too deep down the quantum mechanics rabbit hole, it's safe to say that it's likely impossible to calculate the true driver of price. However, the next best solution is to calculate how likely certain prices will materialize given enough frequencies or trials.
In other words, we may calculate probability density as a function of price. This process acknowledges that, while we may not know what causes GME stock to move, we can estimate where it's most likely to end up at a fixed point in time.
Shifting Away from Time-Series Analysis to Distributional Insights
Immediately, one of the key problems tied to probabilistic analysis of the equities market is that technical charts are represented as a singular journey across time. Mathematically, it's incoherent to talk about odds when the underlying sample size is one. That's why we must break this long, continuous strand of pricing data and split it into hundreds (if not thousands) of rolling, discretized sequences.
This is perhaps one of the most controversial aspects of my quantitative model as it compresses individual candlesticks into up or down sessions. Further, rather than analyzing a stock chronologically, we would be analyzing it structurally. However, in order to reveal tradable patterns, this approach is a necessity.
Take a look at technical analysis, which is structured as an event-based methodology. The problem with this approach is that one-off events — such as the Federal Reserve dramatically cutting the benchmark interest rate — may carry a disproportionate impact on the share price. However, if we were analyzing hundreds of 10-week strands of data, one aberrant week is not going to materially influence the broader distribution.
Even more important, across multiple frequencies, certain patterns will emerge. As an analogy, public roads don't feature even wear across the pavement. Instead, certain areas see more wear and tear than others. It's the same principle with stocks.
Not only that, under certain conditions, the distributional outcome will change. Let's say that GME stock printed ten consecutive up weeks. This bullish pressure will likely have a much different influence than if GME had printed ten consecutive down weeks.
By measuring these frequencies, we can get a better idea of where GameStop stock will eventually land.
Applying Data Science to Actual Trading
Using the probabilistic approach above, the forward 10-week returns of GME stock can be arranged as a distributional curve, with outcomes ranging between $20.85 and $21.85 (assuming an anchor price of $21.80). As such, GME suffers from a negative bias. Further, price clustering would likely occur at $21.45.
However, the above assessment aggregates all trials since January 2019. However, we're interested in the response to a specific signal, which is the 3-7-D sequence; that is, in the trailing 10 weeks through Tuesday's after-hours session, GME stock printed three up weeks and seven down weeks, with an overall downward slope.
Under this setup, the forward 10-week returns shift quite dramatically, ranging between roughly $19 and a little over $26. To be fair, price clustering would likely be predominant at around $21.50, which still implies a slightly negative bias. Overall, however, probabilistic mass shifts more to the positive side of the spectrum, which means that there is a slight chance that GME stock may rise.
Still, given the geometry of risk, it may not be prudent to be ultra-aggressive on GME stock. In particular, the probability density between $23 and $24 drops by about 59.52%. From $24 to $25, there's another drop of 52.94%. That's a steep escalation of probability decay in my opinion.
All things considered, then, the 21/24 bull call spread expiring Jan. 16, 2026, may be the most aggressive trade to consider. GME stock will need to hit $24 at expiration for the trade to be fully profitable. It's arguably the best that can be hoped for without getting into irrational territory.
Disclosure: The author held a long position in GME stock at the time of writing.
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