Insteel Industries (IIIN) Operating Expenses (2009 - 2026)
Insteel Industries (IIIN) recorded Operating Expenses of $8.52 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), down 25.6% from $11.45 million a year earlier and down 12.3% from the prior quarter.
Insteel Industries (IIIN) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Insteel Industries' Operating Expenses came in at $36.85 million as of Jun 27, 2026, down 5.6% year-over-year; for FY2025 (ended Sep 27, 2025), it came in at $41.31 million, up 39.3% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $29.65 million in FY2024 (-3.4%), $30.69 million in FY2023 (-14.9%), $36.05 million in FY2022 (+2.2%) and $35.26 million in FY2021 (+6.7%).
- The fiscal Q3 2026 figure is the lowest quarterly Operating Expenses since fiscal Q4 2024.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 13.8%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 45.5% in fiscal Q2 2025, against a decline of 42.2% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.71 million (Q2 2026), $8.81 million (Q1 2026) and $9.81 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 16.47 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 7.11 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 1.39 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 717.00 Mn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 557.10 Mn |
| 10 | Insteel Industries | 531.76 Mn | 440.66 Mn | 21.03 Mn | 11.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 3, 2026 | 11.08 Mn |
| Jun 27, 2026 | 8.52 Mn |
| Mar 28, 2026 | 9.71 Mn |
| Dec 27, 2025 | 8.81 Mn |
| Sep 27, 2025 | 9.81 Mn |
| Jun 28, 2025 | 11.45 Mn |
| Mar 29, 2025 | 11.46 Mn |
| Dec 28, 2024 | 8.58 Mn |
| Sep 28, 2024 | 7.53 Mn |
| Jun 29, 2024 | 7.88 Mn |
| Mar 30, 2024 | 7.88 Mn |
| Dec 30, 2023 | 6.37 Mn |
| Sep 30, 2023 | 8.13 Mn |
| Jul 1, 2023 | 7.92 Mn |
| Apr 1, 2023 | 7.51 Mn |
| Dec 31, 2022 | 7.13 Mn |
| Oct 1, 2022 | 8.65 Mn |
| Jul 2, 2022 | 8.24 Mn |
| Apr 2, 2022 | 6.84 Mn |
| Jan 1, 2022 | 12.33 Mn |
Insteel Industries 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=IIIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "IIIN", "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=IIIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();