Friedman Industries (FRD) Operating Expenses (2010 - 2026)
Friedman Industries' Operating Expenses came in at $218.94 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 71.4% from $127.73 million a year earlier and up 21.7% from the prior quarter.
Friedman Industries (FRD) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Friedman Industries reported Operating Expenses of $712.47 million, up 57.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $621.26 million, up 40.6% from FY2025.
- Operating Expenses carries a five-year compound annual growth rate of 41.3% (FY2021 to FY2026).
- Going back by fiscal year, Operating Expenses was $441.82 million in FY2025 (-10.2%), $491.73 million in FY2024 (-6.6%), $526.47 million in FY2023 (+105.1%) and $256.72 million in FY2022 (+132.6%).
- The fiscal Q1 2027 figure represents the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- Year-over-year, Operating Expenses has increased for five consecutive quarters, with growth averaging 25.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q1 2023 (growth of 187.7%), and the weakest in fiscal Q2 2025 (a decline of 17.5%).
- Business Quant data shows FRD's Operating Expenses at $179.95 million (Q4 2026), $164.08 million (Q3 2026) and $149.5 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 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 | 218.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 218.94 Mn |
| Mar 31, 2026 | 179.95 Mn |
| Dec 31, 2025 | 164.08 Mn |
| Sep 30, 2025 | 149.50 Mn |
| Jun 30, 2025 | 127.73 Mn |
| Mar 31, 2025 | 123.47 Mn |
| Dec 31, 2024 | 95.64 Mn |
| Sep 30, 2024 | 106.98 Mn |
| Jun 30, 2024 | 115.95 Mn |
| Mar 31, 2024 | 125.30 Mn |
| Dec 31, 2023 | 109.80 Mn |
| Sep 30, 2023 | 129.69 Mn |
| Jun 30, 2023 | 126.94 Mn |
| Mar 31, 2023 | 116.93 Mn |
| Dec 31, 2022 | 110.43 Mn |
| Sep 30, 2022 | 149.62 Mn |
| Jun 30, 2022 | 149.48 Mn |
| Mar 31, 2022 | 79.36 Mn |
| Dec 31, 2021 | 57.25 Mn |
| Sep 30, 2021 | 68.24 Mn |
Friedman 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=FRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=FRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();