Friedman Industries (FRD) Assets (2011 - 2026)
Friedman Industries (FRD) posted Assets of $373.44 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 70.5% from $219.08 million a year earlier and up 10.9% from the prior quarter.
Friedman Industries (FRD) Assets (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Friedman Industries' Assets came in at $336.81 million, up 48.5% from FY2025.
- Annual Assets shows a five-year compound annual growth rate of 28.8% (FY2021 to FY2026).
- In prior fiscal years, Friedman Industries' Assets was $226.82 million in FY2025 (-1.4%), $230.02 million in FY2024 (+15.4%), $199.31 million in FY2023 (+25.1%) and $159.28 million in FY2022 (+67.6%).
- The fiscal Q1 2027 figure stands as the highest quarterly Assets in data going back to fiscal Q4 2011.
- On a year-over-year basis, Assets has increased in each of the last four quarters, with growth averaging 24.9% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was fiscal Q3 2022, with growth of 89.5%; the weakest was fiscal Q1 2024, with a decline of 19.3%.
- According to Business Quant data, Assets for the three prior fiscal quarters was $336.81 million (Q4 2026), $311.86 million (Q3 2026) and $311.29 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 102.61 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 44.81 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 107.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 56.18 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 30.88 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 15.90 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 42.21 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 34.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 16.49 Bn |
| 10 | Friedman Industries | 275.53 Mn | 260.46 Mn | 21.03 Mn | 373.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 373.44 Mn |
| Mar 31, 2026 | 336.81 Mn |
| Dec 31, 2025 | 311.86 Mn |
| Sep 30, 2025 | 311.29 Mn |
| Jun 30, 2025 | 219.08 Mn |
| Mar 31, 2025 | 226.82 Mn |
| Dec 31, 2024 | 210.25 Mn |
| Sep 30, 2024 | 209.17 Mn |
| Jun 30, 2024 | 222.79 Mn |
| Mar 31, 2024 | 230.02 Mn |
| Dec 31, 2023 | 228.96 Mn |
| Sep 30, 2023 | 222.13 Mn |
| Jun 30, 2023 | 211.40 Mn |
| Mar 31, 2023 | 199.31 Mn |
| Dec 31, 2022 | 203.88 Mn |
| Sep 30, 2022 | 211.85 Mn |
| Jun 30, 2022 | 262.06 Mn |
| Mar 31, 2022 | 159.28 Mn |
| Dec 31, 2021 | 150.44 Mn |
| Sep 30, 2021 | 137.82 Mn |
Friedman Industries Assets 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=assets&ticker=FRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=FRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();