Output Explorer

Every prompt in the paper, and what each model wrote back.

Return exactly ten single-sentence facts as JSON. Quality was judged pairwise; here you see the raw outputs and whether the JSON parsed.

13 of 1,000 prompts

MD · Q4 20252026-02-19 ARES · Q2 20252025-08-01 SNDR · Q3 20252025-10-30 HURN · Q2 20252025-07-31 EL · Q4 20252025-08-20 CRK · Q1 20262026-05-06 WLDN · Q4 20252026-02-26 NPO · Q4 20252026-02-18 APOG · Q1 20272026-06-26 SIGA · Q1 20262026-05-07 TLPH · Q2 20252025-08-14 CBU · Q3 20252025-10-21 AIT · Q1 20262025-10-28

Nearby prompts. All 1,000 Earnings calls prompts

PromptWLDN· Q4 2025 · call on2026-02-26· transcript 26,135 characters

Analyze the following earnings call transcript and extract the 10 most investor-relevant facts.

Each fact must:
- Be drawn only from the transcript (do not use any outside information).
- Be a single sentence capturing a specific, quantified insight relevant to investors.
- Avoid regurgitating the transcript verbatim; instead, synthesize and distill the information into investor-relevant facts.

Return only a JSON object with this exact structure (no markdown fences, no commentary):
{"facts": ["<fact 1>", "<fact 2>", ..., "<fact 10>"]}

The list must contain exactly 10 facts.

Transcript:
<transcript>
transcript redacted — the source calls are not publicly licensed
</transcript>

System prompt · identical for every setup

You are a financial analyst. You extract the most investor-relevant facts from earnings call transcripts to help investors anticipate the stock's reaction to the call.

Reference

No reference summary is published. Quality was judged pairwise by a separate model and is reported in aggregate on the main page.

Ours

10 facts · valid JSON

Willdan Group reported fiscal 2025 record results with 21% contract revenue growth to $174 million and 13% Q4 net revenue growth to $89.5 million.
Adjusted EBITDA for Q4 2025 increased 13% to $20 million, while adjusted EPS more than doubled to $1.57 driven by exceptional tax benefits.
The company achieved its long-term 20% EBITDA margin target for the full fiscal year 2025 with a margin of 21.8%, aided by operating leverage and cost discipline.
Willdan transitioned to a net positive cash position of $17 million with effectively zero leverage, holding $216 million in total available liquidity.
Commercial customers, primarily data centers, rapidly grew to represent 11% of revenue, with the specific power engineering acquisition (APG) expected to more than double in 2026.
The company converted a $112 million energy efficiency program with the City of San Diego and a $97 million win with Alameda into its solid pipeline heading into 2026.
Data center electricity demand is estimated at 35 gigawatts of active construction in the US, creating complex grid management opportunities core to Willdan's business model.
Fiscal 2026 guidance projects net revenue between $390 million and $405 million and adjusted EBITDA between $85 million and $90 million, assuming no new acquisitions.
EPS guidance for 2026 ($4.50-$4.70) assumes a normalized 10% effective tax rate, a reduction from the exceptional 31.4% tax benefit driven by 179D deductions in 2025.
Organic revenue growth of 17% in 2025 was largely driven by expansion with existing utility and government customers rather than single large wins.

Aux 2015

Invalid JSONshown as written

Based on the transcript, here are the 10 most investor-relevant facts extracted from the Willdan Group, Inc. earnings call:

Contract Revenue Growth – Contract revenue increased 21% to $174 million in Q4 2025, driven by organic growth in utility and commercial programs and the acquisition of APG.
Adjusted EBITDA Growth – Adjusted EBITDA increased 13% to $20 million in Q4 2025, driven by strong organic growth and the acquisition of APG.
Adjusted EPS Growth – Adjusted EPS grew 13% to $1.57 in Q4 2025, driven by strong organic revenue growth and the acquisition of APG.
Utility Customer Base – Approximately 85% of revenue comes from utility customers, with the remaining 15% from commercial and engineering services.
Utility Program Size – Utility programs typically have 3- to 5-year contracts funded through ratepayer mechanisms, providing strong visibility and recurring revenue.
State and Local Government Revenue – State and local governments account for 48% of revenue and remain a steady source of growth.
Commercial Customer Base – Commercial customers have rapidly grown to 11% of revenue, with most of that activity tied to power for data centers.
AI-Driven Load Growth – Artificial intelligence and data centers are accelerating electricity demand at a scale not seen in recent years.
Data Center Market – Data center load growth is driving transmission upgrades, distribution system expansion, interconnection challenges, and increasing reliability requirements.
Utility Modernization – Advanced metering infrastructure and AI-enabled analytics are improving measurement, targeting, and performance optimization, further integrating planning studies and efficiency into core systems operations.

These facts are drawn from the transcript and are quantified insights relevant to investors.

PiT-FT 2015

Invalid JSONshown as written

<|assistant|>
<|assistant|>
<|assistant|>

The same 14-character fragment repeats 292 times until the token limit. Showing the first three.

ChronoGPT 2015

Invalid JSONshown as written


### Final Answer: