Nbt Bancorp (NBTB) Return on Sales [ROS] (2009 - 2026)
Nbt Bancorp (NBTB) recorded Return on Sales [ROS] of 63.16% in Q2 2026, up 14.04 percentage points from 49.12% a year earlier and up 0.84 percentage points from the prior quarter.
Nbt Bancorp (NBTB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Nbt Bancorp's Return on Sales [ROS] came in at 65.10% as of Jun 30, 2026, up 4.15 percentage points year-over-year; for FY2025, it was 61.53%, down 6.25 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +25.66 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 67.78% in FY2024 (+10.50 pp), 57.28% in FY2023 (+15.17 pp), 42.11% in FY2022 (-3.55 pp) and 45.66% in FY2021 (+9.79 pp).
- Quarterly Return on Sales [ROS] has ranged from 40.72% in Q2 2022 to 70.09% in Q3 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +0.45 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 24.63 percentage points in Q4 2023, against a drop of 18.91 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 62.32% (Q1 2026), 66.32% (Q4 2025) and 68.59% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Nbt Bancorp | 2.77 Bn | 2.49 Bn | - | 65.69% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.69% |
| Jun 30, 2026 | 63.48% |
| Mar 31, 2026 | 62.95% |
| Dec 31, 2025 | 65.13% |
| Sep 30, 2025 | 67.01% |
| Jun 30, 2025 | 47.34% |
| Mar 31, 2025 | 61.14% |
| Dec 31, 2024 | 61.63% |
| Sep 30, 2024 | 24.39% |
| Jun 30, 2024 | 21.70% |
| Mar 31, 2024 | 64.64% |
| Dec 31, 2023 | 60.67% |
| Sep 30, 2023 | 17.95% |
| Jun 30, 2023 | 58.24% |
| Mar 31, 2023 | 54.62% |
| Dec 31, 2022 | 51.37% |
| Sep 30, 2022 | 55.65% |
| Jun 30, 2022 | 57.53% |
| Mar 31, 2022 | 64.28% |
| Dec 31, 2021 | 58.47% |
Nbt Bancorp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NBTB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NBTB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=NBTB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();