Arq (ARQ) Shares Outstanding (2012 - 2026)
Arq (ARQ) recorded Weighted Average Shares Outstanding of 42.33 million in Q3 2026, up 1.7% from 41.61 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Arq (ARQ) Shares Outstanding (2012 - 2026) Analysis & Trends
For FY2025, Arq reported Weighted Average Shares Outstanding of 41.52 million, up 15.2% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for five straight years, with a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 36.05 million in FY2024 (+23.9%), 29.1 million in FY2023 (+57.7%), 18.45 million in FY2022 (+1.1%) and 18.26 million in FY2021 (+1.2%).
- The Q3 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q2 2012.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 23 consecutive quarters, with growth averaging 11.3% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 1.0% (Q1 2022) and 72.1% (Q3 2023) over the last five years.
- Per Business Quant, the preceding three quarters came in at 42.1 million (Q2 2026), 41.73 million (Q1 2026) and 41.52 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 239.54 Bn | 223.24 Bn | 4.44 Bn | 460.61 Mn |
| 2 | Corning | 96.61 Bn | 88.91 Bn | 1.81 Bn | 863.00 Mn |
| 3 | Sherwin Williams | 85.84 Bn | 84.86 Bn | 3.28 Bn | 240.70 Mn |
| 4 | Air Products & Chemicals | 69.53 Bn | 72.40 Bn | - | 222.80 Mn |
| 5 | LyondellBasell Industries | 39.13 Bn | 27.31 Bn | 1.50 Bn | 646.00 Mn |
| 6 | Nutrien | 34.78 Bn | 31.35 Bn | 1.86 Bn | 486.34 Mn |
| 7 | Ppg Industries | 27.48 Bn | 20.55 Bn | 1.76 Bn | 222.20 Mn |
| 8 | Qnity Electronics | 25.83 Bn | 22.27 Bn | 743.00 Mn | 209.40 Mn |
| 9 | Ati | 24.82 Bn | 22.90 Bn | 380.20 Mn | 136.10 Mn |
| 10 | Arq | 130.31 Mn | 110.40 Mn | 15.17 Mn | 42.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.33 Mn |
| Jun 30, 2026 | 42.10 Mn |
| Mar 31, 2026 | 41.73 Mn |
| Dec 31, 2025 | 41.52 Mn |
| Sep 30, 2025 | 41.61 Mn |
| Jun 30, 2025 | 41.51 Mn |
| Mar 31, 2025 | 41.32 Mn |
| Dec 31, 2024 | 36.05 Mn |
| Sep 30, 2024 | 36.12 Mn |
| Jun 30, 2024 | 34.36 Mn |
| Mar 31, 2024 | 37.06 Mn |
| Dec 31, 2023 | 29.10 Mn |
| Sep 30, 2023 | 31.81 Mn |
| Jun 30, 2023 | 27.36 Mn |
| Mar 31, 2023 | 23.77 Mn |
| Dec 31, 2022 | 18.45 Mn |
| Sep 30, 2022 | 18.49 Mn |
| Jun 30, 2022 | 18.47 Mn |
| Mar 31, 2022 | 18.34 Mn |
| Dec 31, 2021 | 18.26 Mn |
API Access
Arq Shares Outstanding 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=shares-outstanding&ticker=ARQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "ARQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=ARQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();