Insteel Industries (IIIN) Selling, General & Administrative (2010 - 2026)
Insteel Industries (IIIN) reported Selling, General & Administrative of $8.52 million for fiscal Q3 2026 (quarter ended Jun 27, 2026), down 19.7% from $10.61 million a year earlier and down 12.3% from the prior quarter.
Insteel Industries (IIIN) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Insteel Industries' Selling, General & Administrative came in at $36.7 million, down 0.2% year-over-year; for FY2025 (ended Sep 27, 2025), it was $39 million, up 31.8% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 4.5% (FY2020 to FY2025).
- By fiscal year, Selling, General & Administrative came in at $29.59 million in FY2024 (-3.6%), $30.69 million in FY2023 (-14.9%), $36.05 million in FY2022 (+11.3%) and $32.39 million in FY2021 (+3.3%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Selling, General & Administrative since fiscal Q1 2025.
- Year over year, Selling, General & Administrative gained in five of the last eight quarters, with growth averaging 12.3%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q1 2022 (growth of 43.6%); the low point was fiscal Q1 2023 (a decline of 42.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $9.71 million (Q2 2026), $8.76 million (Q1 2026) and $9.71 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 1.06 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | - |
| 10 | Insteel Industries | 571.46 Mn | 479.20 Mn | 20.10 Mn | 8.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 8.52 Mn |
| Mar 28, 2026 | 9.71 Mn |
| Dec 27, 2025 | 8.76 Mn |
| Sep 27, 2025 | 9.71 Mn |
| Jun 28, 2025 | 10.61 Mn |
| Mar 29, 2025 | 10.80 Mn |
| Dec 28, 2024 | 7.89 Mn |
| Sep 28, 2024 | 7.47 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 | 8.33 Mn |
| Jul 2, 2022 | 8.24 Mn |
| Apr 2, 2022 | 7.20 Mn |
| Jan 1, 2022 | 12.28 Mn |
| Oct 2, 2021 | 7.32 Mn |
Insteel Industries Selling, General & Administrative 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=selling-general-and-administrative&ticker=IIIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=IIIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();