Worthington Enterprises (WOR) Receivables (2010 - 2026)
Worthington Enterprises' Receivables came in at $185.66 million for fiscal Q1 2027 (quarter ended Aug 31, 2026), down 13.3% from $214.08 million a year earlier and down 18.6% from the prior quarter.
Worthington Enterprises (WOR) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2026 (ended May 31, 2026), Worthington Enterprises' Receivables was $228.17 million, up 5.7% from FY2025.
- Receivables carries a five-year compound annual growth rate of -18.8% (FY2021 to FY2026).
- Going back by fiscal year, Receivables was $215.82 million in FY2025 (+8.0%), $199.8 million in FY2024 (-12.6%), $228.57 million in FY2023 (-73.5%) and $862.49 million in FY2022 (+33.7%).
- The fiscal Q1 2027 figure represents the lowest quarterly Receivables since fiscal Q2 2025.
- Year-over-year, Receivables increased in five of the last eight quarters, with an average decline of 3.1%.
- The fastest year-over-year change in Receivables over five years came in fiscal Q2 2022 (growth of 65.9%), and the weakest in fiscal Q1 2025 (a decline of 76.0%).
- Business Quant data shows WOR's Receivables at $228.17 million (Q4 2026), $231.88 million (Q3 2026) and $207.32 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 4.23 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 9.55 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 3.70 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 4.81 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | 499.60 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 1.34 Bn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | 955.90 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | 559.70 Mn |
| 10 | Worthington Enterprises | 3.10 Bn | 2.83 Bn | 90.90 Mn | 185.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 185.66 Mn |
| May 31, 2026 | 228.17 Mn |
| Feb 28, 2026 | 231.88 Mn |
| Nov 30, 2025 | 207.32 Mn |
| Aug 31, 2025 | 214.08 Mn |
| May 31, 2025 | 215.82 Mn |
| Feb 28, 2025 | 202.85 Mn |
| Nov 30, 2024 | 184.93 Mn |
| Aug 31, 2024 | 168.50 Mn |
| May 31, 2024 | 199.80 Mn |
| Feb 29, 2024 | 219.39 Mn |
| Nov 30, 2023 | 644.97 Mn |
| Aug 31, 2023 | 701.80 Mn |
| May 31, 2023 | 228.57 Mn |
| Feb 28, 2023 | 720.86 Mn |
| Nov 30, 2022 | 697.86 Mn |
| Aug 31, 2022 | 823.82 Mn |
| May 31, 2022 | 861.04 Mn |
| Feb 28, 2022 | 862.49 Mn |
| Nov 30, 2021 | 742.37 Mn |
Worthington Enterprises 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=WOR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "WOR", "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=WOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();