Ryerson Holding (RYZ) Other Accumulated Expenses (2009 - 2026)
Ryerson Holding (RYZ) posted Other Accumulated Expenses of $114.2 million for Q3 2026, up 73.0% from $66 million a year earlier but down 0.7% from the prior quarter.
Ryerson Holding (RYZ) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Ryerson Holding's Other Accumulated Expenses came in at $72 million, up 7.3% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -1.7% (FY2020 to FY2025).
- In prior years, Ryerson Holding's Other Accumulated Expenses was $67.1 million in FY2024 (-11.6%), $75.9 million in FY2023 (-2.3%), $77.7 million in FY2022 (-41.8%) and $133.4 million in FY2021 (+70.4%).
- Quarterly Other Accumulated Expenses has run from a low of $65.7 million in Q1 2025 to a high of $149.7 million in Q1 2022 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last four quarters, with growth averaging 22.1% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q3 2026, with growth of 73.0%; the weakest was Q1 2023, with a decline of 52.5%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $115 million (Q2 2026), $99 million (Q1 2026) and $72 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | W.W. Grainger | 68.95 Bn | 66.71 Bn | 2.01 Bn |
| 2 | United Rentals | 68.54 Bn | 67.66 Bn | 2.05 Bn |
| 3 | Fastenal | 62.92 Bn | 61.91 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 50.34 Bn | 47.55 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 33.33 Bn | 33.21 Bn | 1.25 Bn |
| 6 | Reliance | 21.77 Bn | 20.83 Bn | 1.45 Bn |
| 7 | Wesco International | 15.42 Bn | 12.47 Bn | 1.57 Bn |
| 8 | Watsco | 11.20 Bn | 9.27 Bn | 586.29 Mn |
| 9 | Applied Industrial Technologies | 10.92 Bn | 10.80 Bn | 392.21 Mn |
| 10 | Ryerson Holding | 1.56 Bn | 1.43 Bn | 373.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 114.20 Mn |
| Jun 30, 2026 | 115.00 Mn |
| Mar 31, 2026 | 99.00 Mn |
| Dec 31, 2025 | 72.00 Mn |
| Sep 30, 2025 | 66.00 Mn |
| Jun 30, 2025 | 66.90 Mn |
| Mar 31, 2025 | 65.70 Mn |
| Dec 31, 2024 | 67.10 Mn |
| Sep 30, 2024 | 68.00 Mn |
| Jun 30, 2024 | 69.30 Mn |
| Mar 31, 2024 | 71.80 Mn |
| Dec 31, 2023 | 75.90 Mn |
| Sep 30, 2023 | 71.50 Mn |
| Jun 30, 2023 | 73.40 Mn |
| Mar 31, 2023 | 71.10 Mn |
| Dec 31, 2022 | 77.70 Mn |
| Sep 30, 2022 | 91.50 Mn |
| Jun 30, 2022 | 116.40 Mn |
| Mar 31, 2022 | 149.70 Mn |
| Dec 31, 2021 | 133.40 Mn |
Ryerson Holding Other Accumulated Expenses 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=other-accumulated-expenses&ticker=RYZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "RYZ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=RYZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();