Automatic Trap Company (ATC), the North American distributor of Goodnature self-resetting traps, reported on July 30, 2026, that a recent field trial in Hawaii significantly reduced mongoose presence without the use of toxins. The 11-day study at Kawainui Marsh in Kailua demonstrated that deploying automatic kill-traps lowered the mongoose tracking rate from 58% to 8%, providing a viable, poison-free method for controlling invasive predators that threaten native ground-nesting birds. This development addresses a critical need for land managers seeking effective control measures that do not risk secondary poisoning to non-target wildlife.

The trial was conducted at Kawainui Marsh, one of the largest remaining wetlands in Hawaii, where small Indian mongooses have become established predators since their introduction in the 19th century. Conventional control methods have relied heavily on rodenticides and bait stations, which carry environmental risks and are increasingly restricted in ecologically sensitive areas. ATC’s approach utilizes mechanical trapping to remove mongooses while preserving ecosystem safety.

Trial Deployment and Results

Over the course of 11 days, the project team deployed 44 Goodnature A18 traps at approximately 50-meter spacings across the marsh. Tracking tunnels monitored mongoose activity at 12 distinct sites throughout the duration of the study. The results highlighted the efficacy of the technology in reducing predator density rapidly and humanely.

The significant drop in tracking rates occurred without the use of any rodenticides or toxic bait. Twelve mongooses were successfully removed from the project area during the trial period.

Technology and Operational Mechanism

The Goodnature A18 traps used in the trial are CO₂-powered and self-resetting. They deliver a rapid, humane strike and then automatically re-arm for the next target. The A18 model is specifically designed for larger animals, featuring a stronger strike mechanism and appropriately sized triggers and shrouds. Because the traps rely on targeted lures rather than broadcast bait, and because no toxins are involved, carcasses do not pose a secondary-poisoning risk to scavengers or other non-target species. Once established, the deployment operates continuously with only periodic servicing required, unlike conventional traps that demand daily resetting.

"The trial reduced the mongoose tracking rate from 58% to 8% without any poison," said Blair Calder, President of Automatic Trap Company. "Our company distributes these traps across North America, and we work directly with conservation programs and pest control operators to deploy them."

What the Numbers Show

The reduction of the mongoose tracking rate from 58% to 8% within just 11 days indicates a high capture efficiency relative to the initial predator density. The removal of 12 animals using 44 traps suggests a capture ratio of approximately one mongoose per three to four active trap sites, demonstrating that targeted mechanical trapping can achieve rapid population suppression in wetland environments where chemical controls are prohibited or undesirable.

Availability in North America

Automatic Trap Company serves as the North American distributor for the Goodnature trap line, including the A18 model utilized in the Kawainui Marsh trial. ATC provides support to conservation programs, pest control operators, and land managers through specialized services. Organizations interested in poison-free mongoose or rodent control can access further information via automatictrap.com.

Automatic Data Processing (NASDAQ: ADP) reported fourth-quarter fiscal 2026 results on Wednesday, delivering adjusted earnings per share of $2.64 and revenue of $5.47 billion, both surpassing analyst consensus estimates of $2.60 and $5.44 billion respectively. The human resources management software company saw its shares surge 6.13% to $280.37 following the announcement, driven by strong operational execution and expanding margins.

Revenue increased 7% year-over-year to $5.47 billion, reflecting broad-based demand across its segments. Adjusted EBIT rose 13% to $1.4 billion, with the margin expanding by 140 basis points to 25.1%. Net earnings grew 7% to $1 billion. The company generated $1.43 billion in operating cash flow during the quarter and held $4.23 billion in cash and equivalents as of June 30.

Segment Performance

Growth was consistent across ADP’s primary business units. Employer Services revenues increased 7% to $3.7 billion, while PEO Services revenues also rose 7% to $1.8 billion. A significant contributor to profitability was interest income; interest on funds held for clients increased 15% to $355 million. This was supported by an 8% increase in average client funds balances to $41 billion and a 20 basis point rise in the average interest yield on client funds to 3.5%.

What the Numbers Show

The divergence between top-line and bottom-line growth highlights improved operating leverage. While revenue grew by 7%, adjusted EBIT expanded by 13%, pushing margins higher. This indicates that ADP is effectively converting incremental revenue into profit, aided by efficiency gains and favorable interest income dynamics. The simultaneous beat in both EPS and revenue suggests robust pricing power and cost management.

AI and Strategic Outlook

CEO Maria Black highlighted that AI is reshaping work at the task level rather than eliminating jobs, increasing the need for trusted payroll and compliance support. ADP Assist, the company’s AI-enabled productivity tool, has expanded across payroll, benefits, HR, and compliance, now available to nearly all of ADP’s more than 1.1 million clients. Additionally, Lyric HCM live clients are up 94% from a year ago, with its pipeline up 50%.

Employer Services retention remained strong at 92.1%. Black noted broad-based bookings growth across small business, HR outsourcing, enterprise, and international businesses. The company recently integrated its Workforce Software acquisition as Workforce Suite and remains open to strategic acquisitions. ADP also highlighted a research partnership with the Stanford Digital Economy Lab to study AI’s impact on work using payroll data.

Fiscal 2027 Guidance

Looking ahead, ADP expects full-year fiscal 2027 revenue growth of 5%-6%, translating to a range of $23.044 billion to $23.264 billion, compared to the analyst consensus estimate of $23.190 billion. The company projects adjusted diluted EPS growth of 9%-11%, resulting in a range of $12.12 to $12.34, versus the consensus estimate of $12.20. Management cited stronger bookings, high retention, and global HCM demand as key drivers for continued growth.