Reliance (RS) Accumulated Expenses (2009 - 2026)
Reliance's Accumulated Expenses came in at $190 million for Q3 2026, up 28.8% from $147.5 million a year earlier and up 18.2% from the prior quarter.
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Analysis
Reliance (RS) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Reliance's Accumulated Expenses was $150 million, up 3.9% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $144.4 million in FY2024 (+21.9%), $118.5 million in FY2023 (-0.3%), $118.8 million in FY2022 (-19.8%) and $148.2 million in FY2021 (+66.7%).
- The Q3 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2009.
- Year-over-year, Accumulated Expenses has increased for five consecutive quarters, with growth averaging 13.0% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2021 (growth of 66.7%), and the weakest in Q2 2023 (a decline of 23.4%).
- Business Quant data shows RS's Accumulated Expenses at $160.8 million (Q2 2026), $152.5 million (Q1 2026) and $150 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | United Rentals | 72.85 Bn | 71.97 Bn | 2.05 Bn |
| 2 | W.W. Grainger | 64.68 Bn | 62.27 Bn | 1.98 Bn |
| 3 | Fastenal | 60.03 Bn | 59.03 Bn | 1.10 Bn |
| 4 | Ferguson Enterprises | 47.00 Bn | 44.22 Bn | 2.32 Bn |
| 5 | Sunbelt Rentals Holdings | 34.18 Bn | 34.06 Bn | 1.25 Bn |
| 6 | Reliance | 22.87 Bn | 21.92 Bn | 1.45 Bn |
| 7 | Wesco International | 17.09 Bn | 14.14 Bn | 1.57 Bn |
| 8 | Watsco | 11.81 Bn | 11.81 Bn | 586.29 Mn |
| 9 | Applied Industrial Technologies | 11.20 Bn | 11.09 Bn | 392.21 Mn |
| 10 | Avantor | 10.78 Bn | 9.36 Bn | 534.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 190.00 Mn |
| Jun 30, 2026 | 160.80 Mn |
| Mar 31, 2026 | 152.50 Mn |
| Dec 31, 2025 | 150.00 Mn |
| Sep 30, 2025 | 147.50 Mn |
| Jun 30, 2025 | 133.70 Mn |
| Mar 31, 2025 | 136.70 Mn |
| Dec 31, 2024 | 144.40 Mn |
| Sep 30, 2024 | 132.80 Mn |
| Jun 30, 2024 | 146.60 Mn |
| Mar 31, 2024 | 118.30 Mn |
| Dec 31, 2023 | 118.50 Mn |
| Sep 30, 2023 | 130.30 Mn |
| Jun 30, 2023 | 134.60 Mn |
| Mar 31, 2023 | 113.70 Mn |
| Dec 31, 2022 | 118.80 Mn |
| Sep 30, 2022 | 160.40 Mn |
| Jun 30, 2022 | 175.80 Mn |
| Mar 31, 2022 | 132.10 Mn |
| Dec 31, 2021 | 148.20 Mn |
API Access
Reliance 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=accumulated-expenses&ticker=RS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=RS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();