Qcr Holdings (QCRH) Cash from Operations (2010 - 2026)
Qcr Holdings' Cash from Operations came in at $471.49 million for Q2 2026, compared with $42.23 million a year earlier.
Qcr Holdings (QCRH) Cash from Operations (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Qcr Holdings reported Cash from Operations of $858.75 million, up 89.1% year-over-year; for FY2025, it was $421.54 million, down 5.2% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $444.54 million in FY2024 (+18.1%), $376.32 million in FY2023 (+217.0%), $118.7 million in FY2022 (+34.6%) and $88.22 million in FY2021 (-21.4%).
- The Q2 2026 figure represents the highest quarterly Cash from Operations in data going back to Q3 2010.
- Year-over-year, Cash from Operations increased in three of the last five quarters, with growth averaging 177.4%.
- The fastest year-over-year change in Cash from Operations over five years came in Q3 2024 (growth of 856.6%), and the weakest in Q1 2024 (a decline of 87.4%).
- Business Quant data shows QCRH's Cash from Operations at $4.4 million (Q1 2026), $335.41 million (Q4 2025) and $47.46 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | -25.28 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 29.04 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | -2.75 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 25.17 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 6.11 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 6.78 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | -4.20 Bn |
| 10 | Qcr Holdings | 1.69 Bn | 1.33 Bn | - | 471.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 471.49 Mn |
| Mar 31, 2026 | 4.40 Mn |
| Dec 31, 2025 | 335.41 Mn |
| Sep 30, 2025 | 47.46 Mn |
| Jun 30, 2025 | 42.23 Mn |
| Mar 31, 2025 | -3.55 Mn |
| Dec 31, 2024 | 177.33 Mn |
| Sep 30, 2024 | 238.12 Mn |
| Jun 30, 2024 | 26.34 Mn |
| Mar 31, 2024 | 2.74 Mn |
| Dec 31, 2023 | 290.97 Mn |
| Sep 30, 2023 | 24.89 Mn |
| Jun 30, 2023 | 38.69 Mn |
| Mar 31, 2023 | 21.76 Mn |
| Dec 31, 2022 | 42.07 Mn |
| Sep 30, 2022 | 23.00 Mn |
| Jun 30, 2022 | 46.68 Mn |
| Mar 31, 2022 | 6.95 Mn |
| Dec 31, 2021 | 23.91 Mn |
| Sep 30, 2021 | 31.57 Mn |
Qcr Holdings Cash from Operations 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=cash-from-operations&ticker=QCRH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "ticker": "QCRH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=cash-from-operations&ticker=QCRH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();