Sifco Industries (SIF) Retained Earnings (2010 - 2026)
Sifco Industries (SIF) posted Retained Earnings of $21.55 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 22.6% from $17.58 million a year earlier but down 0.2% from the prior quarter.
Sifco Industries (SIF) Retained Earnings (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Sifco Industries' Retained Earnings came in at $17.15 million, down 4.1% from FY2024.
- Annual Retained Earnings has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -16.5% (FY2020 to FY2025).
- In prior fiscal years, Sifco Industries' Retained Earnings was $17.88 million in FY2024 (-23.1%), $23.26 million in FY2023 (-27.2%), $31.96 million in FY2022 (-23.2%) and $41.6 million in FY2021 (-1.8%).
- Quarterly Retained Earnings has run from a low of $14.17 million in fiscal Q2 2025 to a high of $41.6 million in fiscal Q4 2021 over five years.
- On a year-over-year basis, Retained Earnings has increased in each of the last three quarters, with growth averaging 2.7% over the last eight quarters.
- The strongest year-over-year quarter for Retained Earnings in the past five years was fiscal Q2 2026, with growth of 52.4%; the weakest was fiscal Q2 2023, with a decline of 35.0%.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $21.59 million (Q2 2026), $18.94 million (Q1 2026) and $17.15 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | General Electric | 330.06 Bn | 284.06 Bn | 4.68 Bn | 90.95 Bn |
| 2 | Rtx | 252.10 Bn | 225.31 Bn | 5.13 Bn | 58.02 Bn |
| 3 | Boeing | 148.40 Bn | 55.10 Bn | 2.41 Bn | 16.63 Bn |
| 4 | Lockheed Martin | 118.20 Bn | 104.92 Bn | 2.45 Bn | 15.76 Bn |
| 5 | Howmet Aerospace | 92.39 Bn | 87.99 Bn | 951.00 Mn | 5.11 Bn |
| 6 | General Dynamics | 89.92 Bn | 77.03 Bn | 2.18 Bn | 45.50 Bn |
| 7 | Motorola Solutions | 73.84 Bn | 70.20 Bn | 1.68 Bn | 2.63 Bn |
| 8 | Northrop Grumman | 71.73 Bn | 60.97 Bn | 2.12 Bn | 17.84 Bn |
| 9 | Honeywell International | 66.60 Bn | 19.04 Bn | 3.65 Bn | 55.96 Bn |
| 10 | Sifco Industries | 141.28 Mn | 139.30 Mn | 3.42 Mn | 21.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.55 Mn |
| Mar 31, 2026 | 21.59 Mn |
| Dec 31, 2025 | 18.94 Mn |
| Sep 30, 2025 | 17.15 Mn |
| Jun 30, 2025 | 17.58 Mn |
| Mar 31, 2025 | 14.17 Mn |
| Dec 31, 2024 | 15.57 Mn |
| Sep 30, 2024 | 17.88 Mn |
| Jun 30, 2024 | 18.32 Mn |
| Mar 31, 2024 | 18.25 Mn |
| Dec 31, 2023 | 19.84 Mn |
| Sep 30, 2023 | 23.26 Mn |
| Jun 30, 2023 | 26.37 Mn |
| Mar 31, 2023 | 27.00 Mn |
| Dec 31, 2022 | 29.37 Mn |
| Sep 30, 2022 | 31.96 Mn |
| Jun 30, 2022 | 38.88 Mn |
| Mar 31, 2022 | 41.54 Mn |
| Dec 31, 2021 | 37.91 Mn |
| Sep 30, 2021 | 41.60 Mn |
Sifco Industries Retained Earnings 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=retained-earnings&ticker=SIF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "ticker": "SIF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=retained-earnings&ticker=SIF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();