Loar Holdings (LOAR) Payables (2023 - 2026)
Loar Holdings' Payables came in at $29.44 million for Q2 2026, up 81.2% from $16.24 million a year earlier and up 23.3% from the prior quarter.
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Analysis
Loar Holdings (LOAR) Payables (2023 - 2026) Analysis & Trends
At the end of FY2025, Loar Holdings' Payables was $18.61 million, up 53.9% from FY2024.
- Going back by year, Payables was $12.09 million in FY2024 (-6.1%) and $12.88 million in FY2023.
- The Q2 2026 figure represents the highest quarterly Payables in data going back to Q4 2023.
- Year-over-year, Payables has increased for six consecutive quarters, with growth averaging 30.0% over the last seven quarters.
- Business Quant data shows LOAR's Payables at $23.89 million (Q1 2026), $18.61 million (Q4 2025) and $17.65 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 311.51 Bn | 265.28 Bn | 4.68 Bn | 10.82 Bn |
| 2 | Rtx | 260.81 Bn | 232.28 Bn | 5.13 Bn | 17.23 Bn |
| 3 | Boeing | 150.42 Bn | 57.11 Bn | 2.41 Bn | 14.35 Bn |
| 4 | Lockheed Martin | 126.49 Bn | 113.21 Bn | 2.45 Bn | 4.92 Bn |
| 5 | General Dynamics | 93.01 Bn | 80.13 Bn | 2.18 Bn | 2.87 Bn |
| 6 | Howmet Aerospace | 84.65 Bn | 80.25 Bn | 951.00 Mn | 1.60 Bn |
| 7 | Motorola Solutions | 76.78 Bn | 73.13 Bn | 1.68 Bn | 1.57 Bn |
| 8 | Northrop Grumman | 75.94 Bn | 65.19 Bn | 2.12 Bn | 2.90 Bn |
| 9 | Honeywell International | 67.59 Bn | 19.71 Bn | 3.65 Bn | 8.89 Bn |
| 10 | Loar Holdings | 5.81 Bn | 5.41 Bn | 91.20 Mn | 29.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.44 Mn |
| Mar 31, 2026 | 23.89 Mn |
| Dec 31, 2025 | 18.61 Mn |
| Sep 30, 2025 | 17.65 Mn |
| Jun 30, 2025 | 16.24 Mn |
| Mar 31, 2025 | 14.09 Mn |
| Dec 31, 2024 | 12.09 Mn |
| Sep 30, 2024 | 16.22 Mn |
| Jun 30, 2024 | 16.12 Mn |
| Mar 31, 2024 | 13.88 Mn |
| Dec 31, 2023 | 12.88 Mn |
API Access
Loar Holdings Payables 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=payables&ticker=LOAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=LOAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();