Tradewinds Universal (TRWD) Other Operating Expenses (2023 - 2026)
Tradewinds Universal (TRWD) posted Other Operating Expenses of $2.81 million for Q2 2026, compared with $27,200 a year earlier.
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Analysis
Tradewinds Universal (TRWD) Other Operating Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Tradewinds Universal was $3.69 million; for FY2025, it came in at $886,105.
- In prior years, Tradewinds Universal's Other Operating Expenses was $51,838 in FY2024 (-83.6%) and $316,173 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Other Operating Expenses in data going back to Q2 2023.
- On a year-over-year basis, Other Operating Expenses increased in three of the last five quarters, with growth averaging 85.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Tradewinds Universal | 1.19 Mn | 1.15 Mn | 25,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.81 Mn |
| Dec 31, 2025 | 734,200.00 |
| Sep 30, 2025 | 112,055.00 |
| Jun 30, 2025 | 27,200.00 |
| Mar 31, 2025 | 12,650.00 |
| Dec 31, 2024 | 8,345.00 |
| Sep 30, 2024 | 22,168.00 |
| Jun 30, 2024 | 13,200.00 |
| Mar 31, 2024 | 8,125.00 |
| Dec 31, 2023 | 221,973.00 |
| Sep 30, 2023 | 39,500.00 |
| Jun 30, 2023 | 1,785.00 |
API Access
Tradewinds Universal 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=TRWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "TRWD", "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=TRWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();