Friedman Industries (FRD) Other Operating Expenses (2010 - 2026)
Friedman Industries (FRD) reported Other Operating Expenses of $208.1 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 70.2% from $122.28 million a year earlier and up 22.3% from the prior quarter.
Friedman Industries (FRD) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Friedman Industries' Other Operating Expenses came in at $678.46 million, up 55.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $1.42 million.
- Other Operating Expenses has a five-year compound annual growth rate of -57.5% (FY2021 to FY2026).
- By fiscal year, Other Operating Expenses came in at $467.69 million in FY2024 (-6.8%), $502.05 million in FY2023 (+105.5%) and $244.25 million in FY2022 (+138.2%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2011.
- Year over year, Other Operating Expenses has now increased in each of the last six quarters, with growth averaging 25.2% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was fiscal Q1 2023 (growth of 194.4%); the low point was fiscal Q2 2025 (a decline of 17.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $170.22 million (Q4 2026), $156.93 million (Q3 2026) and $143.22 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Friedman Industries | 275.53 Mn | 260.46 Mn | 21.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 208.10 Mn |
| Mar 31, 2026 | 170.22 Mn |
| Dec 31, 2025 | 156.93 Mn |
| Sep 30, 2025 | 143.22 Mn |
| Jun 30, 2025 | 122.28 Mn |
| Mar 31, 2025 | 119.63 Mn |
| Dec 31, 2024 | 91.75 Mn |
| Sep 30, 2024 | 103.05 Mn |
| Jun 30, 2024 | 111.44 Mn |
| Mar 31, 2024 | 119.16 Mn |
| Dec 31, 2023 | 105.57 Mn |
| Sep 30, 2023 | 124.96 Mn |
| Jun 30, 2023 | 121.00 Mn |
| Mar 31, 2023 | 110.70 Mn |
| Dec 31, 2022 | 105.73 Mn |
| Sep 30, 2022 | 145.01 Mn |
| Jun 30, 2022 | 143.13 Mn |
| Mar 31, 2022 | 77.53 Mn |
| Dec 31, 2021 | 55.26 Mn |
| Sep 30, 2021 | 62.95 Mn |
Friedman Industries 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=FRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "FRD", "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=FRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();