Friedman Industries (FRD) Buildings (2011 - 2026)
Friedman Industries' Buildings was $32.76 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 7.8% from $30.39 million a year earlier and up 0.3% from the prior quarter.
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Analysis
Friedman Industries (FRD) Buildings (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Buildings at Friedman Industries came in at $32.67 million, up 7.5% from FY2025.
- Buildings shows a five-year compound annual growth rate of 28.8% (FY2021 to FY2026).
- In earlier fiscal years, Buildings was $30.39 million in FY2025 (-1.6%), $30.9 million in FY2024 (+8.2%), $28.55 million in FY2023 (+232.7%) and $8.58 million in FY2022 (-6.7%).
- Quarterly Buildings has moved between $8.57 million (fiscal Q2 2022) and $33.34 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Buildings has increased for four straight quarters, with growth averaging 5.1% over the last eight quarters.
- The best year-over-year quarter for Buildings over five years was fiscal Q3 2023 (growth of 257.3%); the worst was fiscal Q4 2022 (a decline of 6.7%).
- Per Business Quant data, FRD's Buildings in the three fiscal quarters before Q1 2027 was $32.67 million (Q4 2026), $33.34 million (Q3 2026) and $33.25 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 | 32.76 Mn |
| Mar 31, 2026 | 32.67 Mn |
| Dec 31, 2025 | 33.34 Mn |
| Sep 30, 2025 | 33.25 Mn |
| Jun 30, 2025 | 30.39 Mn |
| Mar 31, 2025 | 30.39 Mn |
| Dec 31, 2024 | 30.91 Mn |
| Sep 30, 2024 | 30.91 Mn |
| Jun 30, 2024 | 30.91 Mn |
| Mar 31, 2024 | 30.90 Mn |
| Dec 31, 2023 | 29.27 Mn |
| Sep 30, 2023 | 28.63 Mn |
| Jun 30, 2023 | 28.56 Mn |
| Mar 31, 2023 | 28.55 Mn |
| Dec 31, 2022 | 30.66 Mn |
| Sep 30, 2022 | 20.70 Mn |
| Jun 30, 2022 | 20.69 Mn |
| Mar 31, 2022 | 8.58 Mn |
| Dec 31, 2021 | 8.58 Mn |
| Sep 30, 2021 | 8.57 Mn |
API Access
Friedman Industries Buildings 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=buildings&ticker=FRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=FRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();