NSTS Bancorp, Inc. (NSTS) Net Margin (2020 - 2026)
NSTS Bancorp (NSTS) recorded Net Margin of -313.85% in Q2 2026, up 89.28 percentage points from -403.13% a year earlier.
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Analysis
NSTS Bancorp, Inc. (NSTS) Net Margin (2020 - 2026) Analysis & Trends
On a TTM basis, NSTS Bancorp's Net Margin came in at -101.55% as of Jun 30, 2026, up 214.59 percentage points year-over-year; for FY2025, it was -153.17%, up 155.03 percentage points from FY2024.
- Annual Net Margin has a five-year change of -109.25 percentage points (FY2020 to FY2025).
- Across earlier years, Net Margin came in at -308.20% in FY2024 (+1157.35 pp), -1465.56% in FY2023 (-1474.83 pp), 9.28% in FY2022 (+28.31 pp) and -19.03% in FY2021 (+24.89 pp).
- Quarterly Net Margin has ranged from -5625.37% in Q4 2023 to 265.63% in Q1 2023 over the past five years.
- On a year-over-year basis, Net Margin rose in six of the last seven quarters, with an average year-over-year change of +901.78 percentage points.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 5553.50 percentage points in Q4 2024, against a drop of 5681.89 percentage points in Q4 2023 at the low end.
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.30% |
| Dec 31, 2025 | 5.36% |
| Sep 30, 2025 | 2.59% |
| Jun 30, 2025 | -10.15% |
| Mar 31, 2025 | -15.15% |
| Dec 31, 2024 | -1.88% |
| Sep 30, 2024 | -7.59% |
| Jun 30, 2024 | -14.24% |
| Mar 31, 2024 | -12.20% |
| Dec 31, 2023 | -5,625.37% |
| Sep 30, 2023 | -13.93% |
| Jun 30, 2023 | -7.30% |
| Mar 31, 2023 | 9.53% |
| Dec 31, 2022 | 2.12% |
| Sep 30, 2022 | 7.02% |
| Jun 30, 2022 | 7.43% |
| Mar 31, 2022 | -21.59% |
| Dec 31, 2021 | -4.46% |
| Sep 30, 2021 | 1.19% |
| Jun 30, 2021 | 5.21% |
API Access
NSTS Bancorp, Inc. Net Margin 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=net-margin&ticker=NSTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "ticker": "NSTS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-margin&ticker=NSTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();