Friedman Industries (FRD) EV to CFO (2011 - 2026)
Friedman Industries' (FRD) EV to CFO stood at 622.14 in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with 6.70 a year earlier.
Friedman Industries (FRD) EV to CFO (2011 - 2026) Analysis & Trends
On a TTM basis, Friedman Industries' EV to CFO came in at 594.63 as of Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it was 14.46.
- Across earlier fiscal years, EV to CFO came in at 25.65 in FY2024 and 1.26 in FY2023.
- The fiscal Q1 2027 figure is the highest quarterly EV to CFO in data going back to fiscal Q1 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 323.56 Bn | 295.25 Bn | 7.76 Bn |
| 2 | Amphenol | 180.19 Bn | 174.89 Bn | 3.55 Bn |
| 3 | Deere | 173.53 Bn | 182.29 Bn | 4.66 Bn |
| 4 | Eaton | 143.22 Bn | 140.45 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 112.51 Bn | 110.65 Bn | 2.25 Bn |
| 6 | 3M | 90.71 Bn | 73.12 Bn | 2.78 Bn |
| 7 | Emerson Electric | 89.39 Bn | 82.15 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.53 Bn | 76.09 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 75.29 Bn | 65.91 Bn | 1.23 Bn |
| 10 | Friedman Industries | 293.06 Mn | 277.99 Mn | 21.03 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 622.14 |
| Mar 31, 2026 | 14.46 |
| Sep 30, 2025 | 22.29 |
| Jun 30, 2025 | 6.70 |
| Dec 31, 2024 | 9.27 |
| Sep 30, 2024 | 3.65 |
| Jun 30, 2024 | 28.86 |
| Mar 31, 2024 | 25.65 |
| Dec 31, 2023 | 4.99 |
| Jun 30, 2023 | 1.09 |
| Mar 31, 2023 | 1.26 |
| Dec 31, 2022 | 1.28 |
| Sep 30, 2022 | 0.69 |
| Jun 30, 2021 | 7.26 |
| Mar 31, 2021 | 5.65 |
| Dec 31, 2020 | 21.41 |
| Sep 30, 2020 | 3.75 |
| Jun 30, 2020 | 2.27 |
| Mar 31, 2020 | 1.26 |
| Dec 31, 2019 | 0.81 |
Friedman Industries EV to CFO 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=ev-to-cfo&ticker=FRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=FRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();