How does the reported earnings per share compare to analysts' consensus estimates and what was the earnings surprise, if any? | LUNR (Aug 07, 2025) | Candlesense

How does the reported earnings per share compare to analysts' consensus estimates and what was the earnings surprise, if any?

Answer

The news release you provided only announces that Intuitive Machines, Inc. (Nasdaq: LUNR) has reported its financial results for the second quarter ended June 30 2025. It does not include any specific figures for:

  • Earnings per share (EPS) that the company actually reported for the quarter, or
  • Analysts’ consensus EPS estimates for the same period, nor does it mention any earnership surprise (i.e., the difference between the reported EPS and the consensus estimate).

Because those key data points are missing from the excerpt you shared, I’m unable to determine:

  1. Whether the reported EPS was above, below, or equal to analysts’ expectations, and
  2. The magnitude of any earnings surprise (if one occurred).

What to Do Next

To answer the question you asked, you’ll need to locate the full earnings release (or a more detailed news article) that includes the following information:

Required Data Where to Find It
Reported EPS for Q2 2025 (often shown as “adjusted EPS” or “GAAP EPS”) The “Financial Results” section of the press release, or the company’s investor‑relations website (e.g., a PDF of the earnings release or a SEC Form 10‑Q).
Analysts’ consensus EPS estimate for Q2 2025 A Bloomberg, FactSet, Thomson Reuters, or S&P Capital IQ earnings‑consensus snapshot—often quoted in earnings‑preview articles or in the “Earnings Estimate” tables that accompany the release.
Earnings surprise (difference between reported EPS and consensus estimate) Calculated as: (Reported EPS – Consensus Estimate) ÷ Consensus Estimate × 100%. Some news wires (e.g., Bloomberg, Reuters) will also publish the surprise directly.

If you can provide the specific EPS figure and the consensus estimate (or a link to the full press release), I’ll be able to compute the earnings surprise and give you a precise, data‑driven answer. Until then, the current excerpt does not contain enough detail to answer the question.