Tradewinds Universal (TRWD) Operating Expenses (2023 - 2026)
Tradewinds Universal (TRWD) reported Operating Expenses of $2.89 million for Q2 2026, compared with $45,143 a year earlier.
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Analysis
Tradewinds Universal (TRWD) Operating Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tradewinds Universal's Operating Expenses came in at $3.9 million; for FY2025, it came in at $1.03 million, up 367.8% from FY2024.
- By year, Operating Expenses came in at $219,323 in FY2024 (-39.5%) and $362,683 in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q2 2023.
- Year over year, Operating Expenses gained in two of the last five quarters, with growth averaging 10.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | - |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 2.01 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 628.91 Mn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 853.60 Mn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 441.80 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 411.10 Mn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 919.20 Mn |
| 10 | Tradewinds Universal | 1.19 Mn | 1.15 Mn | 25,000.00 | 2.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.89 Mn |
| Dec 31, 2025 | 793,223.00 |
| Sep 30, 2025 | 173,649.00 |
| Jun 30, 2025 | 45,143.00 |
| Mar 31, 2025 | 14,084.00 |
| Dec 31, 2024 | 38,910.00 |
| Sep 30, 2024 | 55,483.00 |
| Jun 30, 2024 | 65,948.00 |
| Mar 31, 2024 | 58,982.00 |
| Dec 31, 2023 | 255,092.00 |
| Sep 30, 2023 | 41,398.00 |
| Jun 30, 2023 | 3,710.00 |
API Access
Tradewinds Universal 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=operating-expenses&ticker=TRWD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=TRWD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();