Syntec Optics Holdings (OPTX) Other Operating Expenses (2022 - 2023)
Syntec Optics Holdings' Other Operating Expenses came in at -$1.16 million for Q3 2023, compared with $176,931 a year earlier.
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Analysis
Syntec Optics Holdings (OPTX) Other Operating Expenses (2022 - 2023) Analysis & Trends
For FY2022, Syntec Optics Holdings' Other Operating Expenses was -$5.87 million.
- Going back by year, Other Operating Expenses was $171,167 in FY2021.
- The five-year range for quarterly Other Operating Expenses is -$1.24 million (Q2 2023) to $289,545 (Q4 2022).
- Business Quant data shows OPTX's Other Operating Expenses at -$1.24 million (Q2 2023), -$1.2 million (Q1 2023) and $289,545 (Q4 2022) in the three quarters before Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Syntec Optics Holdings | 332.31 Mn | 316.71 Mn | 2.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | -1.16 Mn |
| Jun 30, 2023 | -1.24 Mn |
| Mar 31, 2023 | -1.20 Mn |
| Dec 31, 2022 | 289,545.00 |
| Sep 30, 2022 | 176,931.00 |
| Jun 30, 2022 | 137,279.00 |
| Mar 31, 2022 | 183,884.00 |
API Access
Syntec Optics Holdings Other Operating Expenses 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=other-operating-expenses&ticker=OPTX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "OPTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=OPTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();