Stran & Company (SWAG) Operating Expenses (2020 - 2026)
Stran & Company (SWAG) posted Operating Expenses of $9.94 million for Q2 2026, up 4.9% from $9.47 million a year earlier and up 10.4% from the prior quarter.
Stran & Company (SWAG) Operating Expenses (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Stran & Company was $36.63 million, up 0.8% year-over-year; for FY2025, it was $36.19 million, up 17.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 29.3% (FY2020 to FY2025).
- In prior years, Stran & Company's Operating Expenses was $30.71 million in FY2024, $18.97 million in FY2022 (+54.6%) and $12.27 million in FY2021 (+22.8%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q3 2020.
- On a year-over-year basis, Operating Expenses increased in five of the last seven quarters, with growth averaging 19.2%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2022, with growth of 82.1%; the weakest was Q4 2025, with a decline of 9.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $9 million (Q1 2026), $8.84 million (Q4 2025) and $8.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | W.W. Grainger | 58.68 Bn | 56.66 Bn | 1.98 Bn | 1.18 Bn |
| 2 | Fastenal | 56.84 Bn | 55.76 Bn | 1.06 Bn | 561.80 Mn |
| 3 | Ferguson Enterprises | 43.23 Bn | 40.45 Bn | 2.32 Bn | 1.61 Bn |
| 4 | Sunbelt Rentals Holdings | 30.01 Bn | 29.89 Bn | 1.25 Bn | 989.00 Mn |
| 5 | Reliance | 19.64 Bn | 18.69 Bn | 1.30 Bn | 4.19 Bn |
| 6 | Wesco International | 17.52 Bn | 14.83 Bn | 1.46 Bn | 1.02 Bn |
| 7 | Applied Industrial Technologies | 12.22 Bn | 12.09 Bn | 411.22 Mn | 251.91 Mn |
| 8 | Watsco | 10.77 Bn | 8.93 Bn | 578.93 Mn | 348.99 Mn |
| 9 | Avantor | 10.19 Bn | 8.98 Bn | 537.00 Mn | 415.20 Mn |
| 10 | Stran & Company | 26.28 Mn | -22.46 Mn | 10.02 Mn | 9.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.94 Mn |
| Mar 31, 2026 | 9.00 Mn |
| Dec 31, 2025 | 8.84 Mn |
| Sep 30, 2025 | 8.85 Mn |
| Jun 30, 2025 | 9.47 Mn |
| Mar 31, 2025 | 9.02 Mn |
| Dec 31, 2024 | 9.71 Mn |
| Sep 30, 2024 | 8.14 Mn |
| Jun 30, 2024 | 6.58 Mn |
| Mar 31, 2024 | 6.28 Mn |
| Sep 30, 2023 | 5.73 Mn |
| Jun 30, 2023 | 6.25 Mn |
| Mar 31, 2023 | 5.99 Mn |
| Dec 31, 2022 | 5.82 Mn |
| Sep 30, 2022 | 4.90 Mn |
| Jun 30, 2022 | 4.23 Mn |
| Mar 31, 2022 | 4.02 Mn |
| Dec 31, 2021 | 3.94 Mn |
| Sep 30, 2021 | 2.69 Mn |
| Jun 30, 2021 | 3.00 Mn |
Stran & Company 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=SWAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SWAG", "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=SWAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();