Friedman Industries (FRD) Total Current Liabilities (2011 - 2026)
Friedman Industries' Total Current Liabilities was $100.32 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 147.8% from $40.48 million a year earlier and up 31.7% from the prior quarter.
Friedman Industries (FRD) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Total Current Liabilities at Friedman Industries came in at $76.15 million, up 98.7% from FY2025.
- Total Current Liabilities shows a five-year compound annual growth rate of 21.2% (FY2021 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $38.32 million in FY2025 (-29.2%), $54.11 million in FY2024 (+20.0%), $45.09 million in FY2023 (-25.9%) and $60.81 million in FY2022 (+109.2%).
- The fiscal Q1 2027 figure marks the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2011.
- Compared with a year earlier, Total Current Liabilities has increased for five straight quarters, with growth averaging 43.9% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q2 2022 (growth of 506.9%); the worst was fiscal Q2 2024 (a decline of 47.2%).
- Per Business Quant data, FRD's Total Current Liabilities in the three fiscal quarters before Q1 2027 was $76.15 million (Q4 2026), $64.41 million (Q3 2026) and $71.38 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 326.60 Bn | 298.30 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 182.25 Bn | 176.83 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 170.75 Bn | 138.85 Bn | 4.66 Bn | - |
| 4 | Eaton | 143.55 Bn | 140.73 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 113.85 Bn | 111.97 Bn | 2.25 Bn | 6.10 Bn |
| 6 | 3M | 91.24 Bn | 72.69 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 87.28 Bn | 80.02 Bn | 2.66 Bn | 10.77 Bn |
| 8 | Illinois Tool Works | 78.48 Bn | 75.03 Bn | 1.90 Bn | 5.95 Bn |
| 9 | Vertiv Holdings | 77.15 Bn | 67.77 Bn | 1.23 Bn | 7.24 Bn |
| 10 | Friedman Industries | 289.79 Mn | 274.72 Mn | 21.03 Mn | 100.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 100.32 Mn |
| Mar 31, 2026 | 76.15 Mn |
| Dec 31, 2025 | 64.41 Mn |
| Sep 30, 2025 | 71.38 Mn |
| Jun 30, 2025 | 40.48 Mn |
| Mar 31, 2025 | 38.32 Mn |
| Dec 31, 2024 | 42.28 Mn |
| Sep 30, 2024 | 36.37 Mn |
| Jun 30, 2024 | 38.80 Mn |
| Mar 31, 2024 | 54.11 Mn |
| Dec 31, 2023 | 54.60 Mn |
| Sep 30, 2023 | 35.29 Mn |
| Jun 30, 2023 | 43.02 Mn |
| Mar 31, 2023 | 45.09 Mn |
| Dec 31, 2022 | 48.52 Mn |
| Sep 30, 2022 | 66.86 Mn |
| Jun 30, 2022 | 55.34 Mn |
| Mar 31, 2022 | 60.81 Mn |
| Dec 31, 2021 | 43.82 Mn |
| Sep 30, 2021 | 39.43 Mn |
Friedman Industries Total Current 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-current-liabilities&ticker=FRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=FRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();