Farmers National Banc (FMNB) Rent Expense (2010 - 2026)
Farmers National Banc's Rent Expense was $5.94 million in Q2 2026, up 44.1% from $4.12 million a year earlier and up 15.8% from the prior quarter.
Farmers National Banc (FMNB) Rent Expense (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Farmers National Banc's Rent Expense was $19.89 million through Jun 30, 2026, up 22.0% year-over-year; for FY2025, it came in at $17.08 million, up 9.6% from FY2024.
- Rent Expense has now increased for eight consecutive years, with a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- In earlier years, Rent Expense was $15.59 million in FY2024 (+1.0%), $15.43 million in FY2023 (+35.6%), $11.38 million in FY2022 (+34.1%) and $8.49 million in FY2021 (+17.0%).
- The Q2 2026 figure marks the highest quarterly Rent Expense in data going back to Q2 2010.
- Compared with a year earlier, Rent Expense has increased for eight straight quarters, with growth averaging 14.4% over the last eight quarters.
- The best year-over-year quarter for Rent Expense over five years was Q3 2022 (growth of 59.5%); the worst was Q1 2024 (a decline of 3.6%).
- Per Business Quant data, FMNB's Rent Expense in the three quarters before Q2 2026 was $5.13 million (Q1 2026), $4.46 million (Q4 2025) and $4.37 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 803.00 Mn |
| 10 | Farmers National Banc | 903.89 Mn | 903.89 Mn | - | 5.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.94 Mn |
| Mar 31, 2026 | 5.13 Mn |
| Dec 31, 2025 | 4.46 Mn |
| Sep 30, 2025 | 4.37 Mn |
| Jun 30, 2025 | 4.12 Mn |
| Mar 31, 2025 | 4.14 Mn |
| Dec 31, 2024 | 4.08 Mn |
| Sep 30, 2024 | 3.97 Mn |
| Jun 30, 2024 | 3.82 Mn |
| Mar 31, 2024 | 3.73 Mn |
| Dec 31, 2023 | 3.90 Mn |
| Sep 30, 2023 | 3.81 Mn |
| Jun 30, 2023 | 3.86 Mn |
| Mar 31, 2023 | 3.87 Mn |
| Dec 31, 2022 | 2.75 Mn |
| Sep 30, 2022 | 3.03 Mn |
| Jun 30, 2022 | 2.92 Mn |
| Mar 31, 2022 | 2.68 Mn |
| Dec 31, 2021 | 2.42 Mn |
| Sep 30, 2021 | 1.90 Mn |
Farmers National Banc Rent Expense 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=rent-expense&ticker=FMNB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "ticker": "FMNB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=rent-expense&ticker=FMNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();