Friedman Industries (FRD) Receivables (2011 - 2026)
Friedman Industries (FRD) recorded Receivables of $90.69 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 78.8% from $50.72 million a year earlier and up 13.1% from the prior quarter.
Friedman Industries (FRD) Receivables (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Friedman Industries reported Receivables of $80.17 million, up 68.9% from FY2025.
- Annual Receivables has a five-year compound annual growth rate of 31.5% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $47.48 million in FY2025 (+0.3%), $47.33 million in FY2024 (-4.1%), $49.37 million in FY2023 (+38.4%) and $35.67 million in FY2022 (+75.0%).
- The fiscal Q1 2027 figure is the highest quarterly Receivables in data going back to fiscal Q4 2011.
- On a year-over-year basis, Receivables has increased for six consecutive quarters, with growth averaging 32.8% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 186.7% in fiscal Q2 2022, against a decline of 38.8% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $80.17 million (Q4 2026), $55.8 million (Q3 2026) and $62.26 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 13.19 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 6.79 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.19 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 7.69 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.37 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 3.75 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 3.65 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.93 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 3.56 Bn |
| 10 | Friedman Industries | 275.53 Mn | 260.46 Mn | 21.03 Mn | 90.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.69 Mn |
| Mar 31, 2026 | 80.17 Mn |
| Dec 31, 2025 | 55.80 Mn |
| Sep 30, 2025 | 62.26 Mn |
| Jun 30, 2025 | 50.72 Mn |
| Mar 31, 2025 | 47.48 Mn |
| Dec 31, 2024 | 31.73 Mn |
| Sep 30, 2024 | 39.62 Mn |
| Jun 30, 2024 | 37.76 Mn |
| Mar 31, 2024 | 47.33 Mn |
| Dec 31, 2023 | 44.42 Mn |
| Sep 30, 2023 | 52.33 Mn |
| Jun 30, 2023 | 46.78 Mn |
| Mar 31, 2023 | 49.37 Mn |
| Dec 31, 2022 | 43.07 Mn |
| Sep 30, 2022 | 53.94 Mn |
| Jun 30, 2022 | 76.48 Mn |
| Mar 31, 2022 | 35.67 Mn |
| Dec 31, 2021 | 26.24 Mn |
| Sep 30, 2021 | 32.33 Mn |
Friedman Industries Receivables 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=receivables&ticker=FRD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=FRD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();