Johnson Controls International (JCI) EPS (Diluted) (2009 - 2026)
Johnson Controls International (JCI) recorded EPS (Diluted) of $1.23 in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 15.1% from $1.07 a year earlier and up 23.0% from the prior quarter.
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Analysis
Johnson Controls International (JCI) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a TTM basis, Johnson Controls International's EPS (Diluted) came in at $5.87 as of Jun 30, 2026, up 72.9% year-over-year; for FY2025 (ended Sep 30, 2025), it came in at $5.03, up 99.5% from FY2024.
- Annual EPS (Diluted) has a five-year compound annual growth rate of 43.1% (FY2020 to FY2025).
- Across earlier fiscal years, EPS (Diluted) came in at $2.52 in FY2024 (-6.2%), $2.69 in FY2023 (+22.8%), $2.19 in FY2022 (-3.5%) and $2.27 in FY2021 (+171.1%).
- Quarterly EPS (Diluted) has ranged from -$0.41 in fiscal Q2 2024 to $2.59 in fiscal Q4 2025 over the past five years.
- On a year-over-year basis, EPS (Diluted) has increased for four consecutive quarters, with growth averaging 38.7% over the last seven quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 220.6% in fiscal Q1 2024, against a decline of 96.7% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.00 (Q2 2026), $0.85 (Q1 2026) and $2.59 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 100.25 Bn | 94.99 Bn | 2.26 Bn | 4.16 |
| 2 | Johnson Controls International | 90.55 Bn | 88.31 Bn | 2.47 Bn | 1.23 |
| 3 | Comfort Systems Usa | 58.58 Bn | 53.83 Bn | 844.23 Mn | 12.53 |
| 4 | Carrier Global | 45.65 Bn | 40.28 Bn | 1.94 Bn | 0.60 |
| 5 | Otis Worldwide | 24.99 Bn | 21.59 Bn | 1.14 Bn | 1.12 |
| 6 | James Hardie Industries | 14.56 Bn | 13.29 Bn | 548.70 Mn | 0.18 |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.60 |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 2.15 |
| 9 | Carlisle Companies | 12.96 Bn | 9.31 Bn | 568.40 Mn | 6.30 |
| 10 | Lennox International | 12.44 Bn | 12.25 Bn | 539.50 Mn | 7.73 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.23 |
| Mar 31, 2026 | 1.00 |
| Dec 31, 2025 | 0.85 |
| Sep 30, 2025 | 2.59 |
| Jun 30, 2025 | 1.07 |
| Mar 31, 2025 | 0.72 |
| Dec 31, 2024 | 0.63 |
| Sep 30, 2024 | 0.94 |
| Jun 30, 2024 | 1.45 |
| Mar 31, 2024 | -0.41 |
| Dec 31, 2023 | 0.55 |
| Sep 30, 2023 | 0.80 |
| Jun 30, 2023 | 1.53 |
| Mar 31, 2023 | 0.19 |
| Dec 31, 2022 | 0.17 |
| Sep 30, 2022 | 1.09 |
| Jun 30, 2022 | 0.55 |
| Mar 31, 2022 | 0.02 |
| Dec 31, 2021 | 0.54 |
| Sep 30, 2021 | 0.37 |
API Access
Johnson Controls International EPS (Diluted) 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=eps-diluted&ticker=JCI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "JCI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=eps-diluted&ticker=JCI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();