Friedman Industries (FRD) Enterprise Value (2010 - 2026)
Friedman Industries (FRD) recorded Enterprise Value of $227.08 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 97.8% from $114.81 million a year earlier and up 83.9% from the prior quarter.
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Analysis
Friedman Industries (FRD) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, Friedman Industries' Enterprise Value came in at $217.04 million as of Jun 30, 2026, up 101.8% year-over-year; for FY2026 (ended Mar 31, 2026), it was $123.49 million, up 21.8% from FY2025.
- Annual Enterprise Value has a five-year compound annual growth rate of 21.0% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $101.43 million in FY2025 (-20.6%), $127.72 million in FY2024 (+58.4%), $80.65 million in FY2023 (+29.4%) and $62.32 million in FY2022 (+30.9%).
- The fiscal Q1 2027 figure is the highest quarterly Enterprise Value in data going back to fiscal Q1 2011.
- On a year-over-year basis, Enterprise Value has increased for five consecutive quarters, with growth averaging 25.2% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 259.2% in fiscal Q2 2022, against a decline of 42.3% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $123.49 million (Q4 2026), $142.72 million (Q3 2026) and $151.17 million (Q2 2026).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227.08 Mn |
| Mar 31, 2026 | 123.49 Mn |
| Dec 31, 2025 | 142.72 Mn |
| Sep 30, 2025 | 151.17 Mn |
| Jun 30, 2025 | 114.81 Mn |
| Mar 31, 2025 | 101.43 Mn |
| Dec 31, 2024 | 105.50 Mn |
| Sep 30, 2024 | 109.13 Mn |
| Jun 30, 2024 | 101.10 Mn |
| Mar 31, 2024 | 127.72 Mn |
| Dec 31, 2023 | 103.84 Mn |
| Sep 30, 2023 | 95.68 Mn |
| Jun 30, 2023 | 88.11 Mn |
| Mar 31, 2023 | 80.65 Mn |
| Dec 31, 2022 | 68.66 Mn |
| Sep 30, 2022 | 45.76 Mn |
| Jun 30, 2022 | 57.57 Mn |
| Mar 31, 2022 | 62.32 Mn |
| Dec 31, 2021 | 61.24 Mn |
| Sep 30, 2021 | 79.30 Mn |
API Access
Friedman Industries Enterprise Value 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=enterprise-value&ticker=FRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=FRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();