Loar Holdings Inc. (LOAR) Net Margin (2023 - 2026)
Loar Holdings (LOAR) posted Net Margin of 9.76% for Q2 2026, down 3.82 percentage points from 13.57% a year earlier but up 2.62 percentage points from the prior quarter.
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Loar Holdings Inc. (LOAR) Net Margin (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Margin at Loar Holdings was 11.60%, up 1.78 percentage points year-over-year; for FY2025, it was 14.54%, up 9.02 percentage points from FY2024.
- In prior years, Loar Holdings' Net Margin was 5.52% in FY2024 (+6.97 pp) and -1.45% in FY2023.
- Quarterly Net Margin has run from a low of -10.13% in Q1 2023 to a high of 21.78% in Q3 2025 over five years.
- On a year-over-year basis, Net Margin increased in six of the last eight quarters, with an average year-over-year change of +4.38 percentage points.
- The strongest year-over-year quarter for Net Margin in the past five years was Q3 2025, with a gain of 13.42 percentage points; the weakest was Q1 2026, with a drop of 6.22 percentage points.
- According to Business Quant data, Net Margin for the three prior quarters was 7.14% (Q1 2026), 9.50% (Q4 2025) and 21.78% (Q3 2025).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.76% |
| Mar 31, 2026 | 7.14% |
| Dec 31, 2025 | 9.50% |
| Sep 30, 2025 | 21.78% |
| Jun 30, 2025 | 13.57% |
| Mar 31, 2025 | 13.36% |
| Dec 31, 2024 | 3.34% |
| Sep 30, 2024 | 8.36% |
| Jun 30, 2024 | 7.88% |
| Mar 31, 2024 | 2.45% |
| Dec 31, 2023 | -0.66% |
| Sep 30, 2023 | 3.45% |
| Jun 30, 2023 | 0.84% |
| Mar 31, 2023 | -10.13% |
API Access
Loar Holdings Inc. Net Margin API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=net-margin&ticker=LOAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "LOAR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();