Friedman Industries (FRD) EBITDA (2010 - 2026)
Friedman Industries' EBITDA was $22.1 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 180.1% from $7.89 million a year earlier and up 71.8% from the prior quarter.
Friedman Industries (FRD) EBITDA (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Friedman Industries' EBITDA was $43.69 million through Jun 30, 2026, up 194.7% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $29.48 million, up 365.3% from FY2025.
- EBITDA shows a five-year compound annual growth rate of 12.0% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $6.33 million in FY2025 (-77.0%), $27.59 million in FY2024 (+16.9%), $23.6 million in FY2023 (-20.9%) and $29.84 million in FY2022 (+78.3%).
- The fiscal Q1 2027 figure marks the highest quarterly EBITDA since fiscal Q2 2022.
- Compared with a year earlier, EBITDA was higher in three of the last five quarters, with growth averaging 145.8%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q2 2026 (growth of 537.1%); the worst was fiscal Q2 2023 (a decline of 97.1%).
- Per Business Quant data, FRD's EBITDA in the three fiscal quarters before Q1 2027 was $12.86 million (Q4 2026), $4.91 million (Q3 2026) and $3.82 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Friedman Industries | 275.53 Mn | 260.46 Mn | 21.03 Mn | 22.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.10 Mn |
| Mar 31, 2026 | 12.86 Mn |
| Dec 31, 2025 | 4.91 Mn |
| Sep 30, 2025 | 3.82 Mn |
| Jun 30, 2025 | 7.89 Mn |
| Mar 31, 2025 | 6.70 Mn |
| Dec 31, 2024 | -360,000.00 |
| Sep 30, 2024 | 599,000.00 |
| Jun 30, 2024 | -603,000.00 |
| Mar 31, 2024 | 7.71 Mn |
| Dec 31, 2023 | 6.94 Mn |
| Sep 30, 2023 | 1.82 Mn |
| Jun 30, 2023 | 11.13 Mn |
| Mar 31, 2023 | 7.90 Mn |
| Dec 31, 2022 | 2.14 Mn |
| Sep 30, 2022 | 713,000.00 |
| Jun 30, 2022 | 12.85 Mn |
| Mar 31, 2022 | -3.94 Mn |
| Dec 31, 2021 | -5.27 Mn |
| Sep 30, 2021 | 24.66 Mn |
Friedman Industries EBITDA 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=ebitda&ticker=FRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=FRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();