Friedman Industries (FRD) Total Liabilities (2011 - 2026)
Friedman Industries' Total Liabilities was $209.29 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 155.9% from $81.8 million a year earlier and up 12.9% from the prior quarter.
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Analysis
Friedman Industries (FRD) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Liabilities at Friedman Industries came in at $185.32 million, up 96.3% from FY2025.
- Total Liabilities shows a five-year compound annual growth rate of 44.3% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $94.4 million in FY2025 (-7.9%), $102.54 million in FY2024 (+22.3%), $83.88 million in FY2023 (+5.4%) and $79.59 million in FY2022 (+168.2%).
- The fiscal Q1 2027 figure marks the highest quarterly Total Liabilities in data going back to fiscal Q4 2011.
- Compared with a year earlier, Total Liabilities has increased for four straight quarters, with growth averaging 51.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2022 (growth of 640.2%); the worst was fiscal Q1 2024 (a decline of 44.8%).
- Per Business Quant data, FRD's Total Liabilities in the three fiscal quarters before Q1 2027 was $185.32 million (Q4 2026), $169.65 million (Q3 2026) and $172.02 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Friedman Industries | 275.53 Mn | 260.46 Mn | 21.03 Mn | 209.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 209.29 Mn |
| Mar 31, 2026 | 185.32 Mn |
| Dec 31, 2025 | 169.65 Mn |
| Sep 30, 2025 | 172.02 Mn |
| Jun 30, 2025 | 81.80 Mn |
| Mar 31, 2025 | 94.40 Mn |
| Dec 31, 2024 | 82.92 Mn |
| Sep 30, 2024 | 80.40 Mn |
| Jun 30, 2024 | 93.10 Mn |
| Mar 31, 2024 | 102.54 Mn |
| Dec 31, 2023 | 106.21 Mn |
| Sep 30, 2023 | 95.32 Mn |
| Jun 30, 2023 | 88.03 Mn |
| Mar 31, 2023 | 83.88 Mn |
| Dec 31, 2022 | 95.23 Mn |
| Sep 30, 2022 | 105.16 Mn |
| Jun 30, 2022 | 159.35 Mn |
| Mar 31, 2022 | 79.59 Mn |
| Dec 31, 2021 | 59.38 Mn |
| Sep 30, 2021 | 57.49 Mn |
API Access
Friedman Industries Total Liabilities 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=total-liabilities&ticker=FRD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();